메뉴 건너뛰기




Volumn 10, Issue , 2018, Pages 771-788

Automated data-adaptive analytics for electronic healthcare data to study causal treatment effects

Author keywords

Artificial intelligence; Automation; Causal conclusions; Confounding (epidemiology); Confounding adjustment; Health care databases; High dimensional data; Machine learning; Propensity scores; Real world data

Indexed keywords

ARTIFICIAL INTELLIGENCE; AUTOMATION; HUMAN; MACHINE LEARNING; PROPENSITY SCORE; REVIEW; SIMULATION;

EID: 85057739630     PISSN: None     EISSN: 11791349     Source Type: Journal    
DOI: 10.2147/CLEP.S166545     Document Type: Review
Times cited : (57)

References (120)
  • 1
    • 18044374934 scopus 로고    scopus 로고
    • What do we show and who does so? An analysis of the abstracts presented at the 19th ICPE
    • Arana A, Rivero E, TCG E. What do we show and who does so? An analysis of the abstracts presented at the 19th ICPE. Pharmacoepidemiol Drug Saf. 2004;30:S330–S331.
    • (2004) Pharmacoepidemiol Drug Saf , vol.30 , pp. S330-S331
    • Arana, A.1    Rivero, E.2    Tcg, E.3
  • 2
    • 36549071661 scopus 로고    scopus 로고
    • Primer: Administrative health databases in observational studies of drug effects – advantages and disadvantages
    • Suissa S, Garbe E. Primer: administrative health databases in observational studies of drug effects – advantages and disadvantages. Nat Clin Pract Rheumatol. 2007;3(12):725–732.
    • (2007) Nat Clin Pract Rheumatol , vol.3 , Issue.12 , pp. 725-732
    • Suissa, S.1    Garbe, E.2
  • 3
    • 18044398603 scopus 로고    scopus 로고
    • A review of uses of health care utilization databases for epidemiologic research on therapeutics
    • Schneeweiss S, Avorn J. A review of uses of health care utilization databases for epidemiologic research on therapeutics. J Clin Epidemiol. 2005;58(4):323–337.
    • (2005) J Clin Epidemiol , vol.58 , Issue.4 , pp. 323-337
    • Schneeweiss, S.1    Avorn, J.2
  • 4
    • 0142157169 scopus 로고    scopus 로고
    • Evaluating medication effects outside of clinical trials: New-user designs
    • Ray WA. Evaluating medication effects outside of clinical trials: new-user designs. Am J Epidemiol. 2003;158(9):915–920.
    • (2003) Am J Epidemiol , vol.158 , Issue.9 , pp. 915-920
    • Ray, W.A.1
  • 6
    • 0347447334 scopus 로고    scopus 로고
    • A propensity score-matched cohort study of the effect of statins, mainly fluvastatin, on the occurrence of acute myocardial infarction
    • Seeger JD, Walker AM, Williams PL, Saperia GM, Sacks FM. A propensity score-matched cohort study of the effect of statins, mainly fluvastatin, on the occurrence of acute myocardial infarction. Am J Cardiol. 2003;92(12):1447–1451.
    • (2003) Am J Cardiol , vol.92 , Issue.12 , pp. 1447-1451
    • Seeger, J.D.1    Walker, A.M.2    Williams, P.L.3    Saperia, G.M.4    Sacks, F.M.5
  • 7
    • 84924034859 scopus 로고    scopus 로고
    • Cardiovascular, bleeding, and mortality risks in elderly Medicare patients treated with dabigatran or warfarin for nonvalvular atrial fibrillation
    • Graham DJ, Reichman ME, Wernecke M, et al. Cardiovascular, bleeding, and mortality risks in elderly Medicare patients treated with dabigatran or warfarin for nonvalvular atrial fibrillation. Circulation. 2015;131(2):157–164.
    • (2015) Circulation , vol.131 , Issue.2 , pp. 157-164
    • Graham, D.J.1    Reichman, M.E.2    Wernecke, M.3
  • 8
    • 39549100109 scopus 로고    scopus 로고
    • Aprotinin during coronary-artery bypass grafting and risk of death
    • Schneeweiss S, Seeger JD, Landon J, Walker AM. Aprotinin during coronary-artery bypass grafting and risk of death. N Engl J Med. 2008;358(8):771–783.
    • (2008) N Engl J Med , vol.358 , Issue.8 , pp. 771-783
    • Schneeweiss, S.1    Seeger, J.D.2    Landon, J.3    Walker, A.M.4
  • 9
    • 85018971196 scopus 로고    scopus 로고
    • Cardiovascular safety of tocilizumab versus tumor necrosis factor inhibitors in patients with rheumatoid arthritis – a Multi-database Cohort Study
    • Kim SC, Solomon DH, Rogers JR, et al. Cardiovascular safety of tocilizumab versus tumor necrosis factor inhibitors in patients with rheumatoid arthritis – a Multi-database Cohort Study. Arthritis Rheum. 2016;69(6):1154–1164.
    • (2016) Arthritis Rheum , vol.69 , Issue.6 , pp. 1154-1164
    • Kim, S.C.1    Solomon, D.H.2    Rogers, J.R.3
  • 10
    • 58349114259 scopus 로고    scopus 로고
    • Atypical antipsychotic drugs and the risk of sudden cardiac death
    • Ray WA, Chung CP, Murray KT, Hall K, Stein CM. Atypical antipsychotic drugs and the risk of sudden cardiac death. N Engl J Med. 2009;360(3):225–235.
    • (2009) N Engl J Med , vol.360 , Issue.3 , pp. 225-235
    • Ray, W.A.1    Chung, C.P.2    Murray, K.T.3    Hall, K.4    Stein, C.M.5
  • 11
    • 28244431743 scopus 로고    scopus 로고
    • Risk of death in elderly users of conventional vs. Atypical antipsychotic medications
    • Wang PS, Schneeweiss S, Avorn J, et al. Risk of death in elderly users of conventional vs. atypical antipsychotic medications. N Engl J Med. 2005;353(22):2335–2341.
    • (2005) N Engl J Med , vol.353 , Issue.22 , pp. 2335-2341
    • Wang, P.S.1    Schneeweiss, S.2    Avorn, J.3
  • 12
    • 84907014634 scopus 로고    scopus 로고
    • Reanalyses of randomized clinical trial data
    • Ebrahim S, Sohani ZN, Montoya L, et al. Reanalyses of randomized clinical trial data. JAMA. 2014;312(10):1024–1032.
    • (2014) JAMA , vol.312 , Issue.10 , pp. 1024-1032
    • Ebrahim, S.1    Sohani, Z.N.2    Montoya, L.3
  • 13
    • 19444364509 scopus 로고    scopus 로고
    • Statins and the risk of colorectal cancer
    • Poynter JN, Gruber SB, Higgins PD, et al. Statins and the risk of colorectal cancer. N Engl J Med. 2005;352(21):2184–2192.
    • (2005) N Engl J Med , vol.352 , Issue.21 , pp. 2184-2192
    • Poynter, J.N.1    Gruber, S.B.2    Higgins, P.D.3
  • 14
    • 33750507246 scopus 로고    scopus 로고
    • Statin therapy and risks for death and hospitalization in chronic heart failure
    • Go AS, Lee WY, Yang J, Lo JC, Gurwitz JH. Statin therapy and risks for death and hospitalization in chronic heart failure. JAMA. 2006;296(17):2105–2111.
    • (2006) JAMA , vol.296 , Issue.17 , pp. 2105-2111
    • Go, A.S.1    Lee, W.Y.2    Yang, J.3    Lo, J.C.4    Gurwitz, J.H.5
  • 15
    • 18544410718 scopus 로고    scopus 로고
    • Inhibitors of hydroxymethylgl-utaryl-coenzyme A reductase and risk of fracture among older women
    • Chan KA, Andrade SE, Boles M, et al. Inhibitors of hydroxymethylgl-utaryl-coenzyme A reductase and risk of fracture among older women. Lancet. 2000;355(9222):2185–2188.
    • (2000) Lancet , vol.355 , Issue.9222 , pp. 2185-2188
    • Chan, K.A.1    Andrade, S.E.2    Boles, M.3
  • 16
    • 85029886626 scopus 로고    scopus 로고
    • When and how can real world data analyses substitute for randomized controlled trials?
    • Franklin JM, Schneeweiss S. When and how can real world data analyses substitute for randomized controlled trials? Clin Pharmacol Ther. 2017;102(6):924–933.
    • (2017) Clin Pharmacol Ther , vol.102 , Issue.6 , pp. 924-933
    • Franklin, J.M.1    Schneeweiss, S.2
  • 17
    • 0030187757 scopus 로고    scopus 로고
    • Confounding by indication
    • Walker AM. Confounding by indication. Epidemiology. 1996;7(4): 335–336.
    • (1996) Epidemiology , vol.7 , Issue.4 , pp. 335-336
    • Walker, A.M.1
  • 18
    • 0025805153 scopus 로고
    • Channeling bias in the interpretation of drug effects
    • Petri H, Urquhart J. Channeling bias in the interpretation of drug effects. Stat Med. 1991;10(4):577–581.
    • (1991) Stat Med , vol.10 , Issue.4 , pp. 577-581
    • Petri, H.1    Urquhart, J.2
  • 19
    • 0035183337 scopus 로고    scopus 로고
    • Causation of bias: The episcope
    • Maclure M, Schneeweiss S. Causation of bias: the episcope. Epidemiology. 2001;12(1):114–122.
    • (2001) Epidemiology , vol.12 , Issue.1 , pp. 114-122
    • Maclure, M.1    Schneeweiss, S.2
  • 20
    • 0035211416 scopus 로고    scopus 로고
    • Paradoxical relations of drug treatment with mortality in older persons
    • Glynn RJ, Knight EL, Levin R, Avorn J. Paradoxical relations of drug treatment with mortality in older persons. Epidemiology. 2001;12(6):682–689.
    • (2001) Epidemiology , vol.12 , Issue.6 , pp. 682-689
    • Glynn, R.J.1    Knight, E.L.2    Levin, R.3    Avorn, J.4
  • 21
    • 84900423293 scopus 로고    scopus 로고
    • Influence of healthy candidate bias in assessing clinical effectiveness for implant-able cardioverter-defibrillators: Cohort study of older patients with heart failure
    • Setoguchi S, Warner Stevenson L, Stewart GC, et al. Influence of healthy candidate bias in assessing clinical effectiveness for implant-able cardioverter-defibrillators: cohort study of older patients with heart failure. BMJ. 2014;348:g2866.
    • (2014) BMJ , vol.348 , pp. g2866
    • Setoguchi, S.1    Warner Stevenson, L.2    Stewart, G.C.3
  • 22
    • 67651042983 scopus 로고    scopus 로고
    • High-dimensional propensity score adjustment in studies of treatment effects using health care claims data
    • Schneeweiss S, Rassen JA, Glynn RJ, Avorn J, Mogun H, Brookhart MA. High-dimensional propensity score adjustment in studies of treatment effects using health care claims data. Epidemiology. 2009;20(4):512–522.
    • (2009) Epidemiology , vol.20 , Issue.4 , pp. 512-522
    • Schneeweiss, S.1    Rassen, J.A.2    Glynn, R.J.3    Avorn, J.4    Mogun, H.5    Brookhart, M.A.6
  • 23
    • 85011418935 scopus 로고    scopus 로고
    • Diffusion of innovations model helps interpret the comparative uptake of two methodological innovations: Co-authorship network analysis and recommendations for the integration of novel methods in practice
    • Cadarette SM, Ban JK, Consiglio GP, et al. Diffusion of innovations model helps interpret the comparative uptake of two methodological innovations: co-authorship network analysis and recommendations for the integration of novel methods in practice. J Clin Epidemiol. 2017;84: 150–160.
    • (2017) J Clin Epidemiol , vol.84 , pp. 150-160
    • Cadarette, S.M.1    Ban, J.K.2    Consiglio, G.P.3
  • 24
    • 34250013370 scopus 로고    scopus 로고
    • Understanding secondary databases: A commentary on “Sources of bias for health state characteristics in secondary data-bases”
    • Schneeweiss S. Understanding secondary databases: a commentary on “Sources of bias for health state characteristics in secondary data-bases”. J Clin Epidemiol. 2007;60(7):648–650.
    • (2007) J Clin Epidemiol , vol.60 , Issue.7 , pp. 648-650
    • Schneeweiss, S.1
  • 25
    • 85015131818 scopus 로고    scopus 로고
    • Data extraction and management in networks of observational health care databases for scientific research: A comparison of EU-ADR, OMOP, mini-sentinel and MATRICE strategies
    • Gini R, Schuemie M, Brown J, et al. Data extraction and management in networks of observational health care databases for scientific research: a comparison of EU-ADR, OMOP, mini-sentinel and MATRICE strategies. EGEMS (Wash DC). 2016;4(1):1189.
    • (2016) EGEMS (Wash DC) , vol.4 , Issue.1 , pp. 1189
    • Gini, R.1    Schuemie, M.2    Brown, J.3
  • 26
    • 84862907574 scopus 로고    scopus 로고
    • Design considerations, architecture, and use of the mini-sentinel distributed data system
    • Curtis LH, Weiner MG, Boudreau DM, et al. Design considerations, architecture, and use of the mini-sentinel distributed data system. Pharmacoepidemiol Drug Saf. 2012;21(suppl 1):23–31.
    • (2012) Pharmacoepidemiol Drug Saf , vol.21 , pp. 23-31
    • Curtis, L.H.1    Weiner, M.G.2    Boudreau, D.M.3
  • 27
    • 84910666337 scopus 로고    scopus 로고
    • Fidelity assessment of a clinical practice research datalink conversion to the OMOP common data model
    • Matcho A, Ryan P, Fife D, Reich C. Fidelity assessment of a clinical practice research datalink conversion to the OMOP common data model. Drug Saf. 2014;37(11):945–959.
    • (2014) Drug Saf , vol.37 , Issue.11 , pp. 945-959
    • Matcho, A.1    Ryan, P.2    Fife, D.3    Reich, C.4
  • 28
    • 77956625112 scopus 로고    scopus 로고
    • A basic study design for expedited safety signal evaluation based on electronic healthcare data
    • Schneeweiss S. A basic study design for expedited safety signal evaluation based on electronic healthcare data. Pharmacoepidemiol Drug Saf. 2010;19(8):858–868.
    • (2010) Pharmacoepidemiol Drug Saf , vol.19 , Issue.8 , pp. 858-868
    • Schneeweiss, S.1
  • 31
    • 0027980288 scopus 로고
    • Patterns of increasing beta-agonist use and the risk of fatal or near-fatal asthma
    • Suissa S, Blais L, Ernst P. Patterns of increasing beta-agonist use and the risk of fatal or near-fatal asthma. Eur Respir J. 1994;7(9): 1602–1609.
    • (1994) Eur Respir J , vol.7 , Issue.9 , pp. 1602-1609
    • Suissa, S.1    Blais, L.2    Ernst, P.3
  • 32
    • 84856034091 scopus 로고    scopus 로고
    • Using high-dimensional propensity scores to automate confounding control in a distributed medical product safety surveillance system
    • Rassen JA, Schneeweiss S. Using high-dimensional propensity scores to automate confounding control in a distributed medical product safety surveillance system. Pharmacoepidemiol Drug Saf. 2012;21(suppl 1):41–49.
    • (2012) Pharmacoepidemiol Drug Saf , vol.21 , pp. 41-49
    • Rassen, J.A.1    Schneeweiss, S.2
  • 33
    • 84940960686 scopus 로고    scopus 로고
    • On the role of marginal confounder prevalence – implications for the high-dimensional propensity score algorithm
    • Schuster T, Pang M, Platt RW. On the role of marginal confounder prevalence – implications for the high-dimensional propensity score algorithm. Pharmacoepidemiol Drug Saf. 2015;24(9):1004–1007.
    • (2015) Pharmacoepidemiol Drug Saf , vol.24 , Issue.9 , pp. 1004-1007
    • Schuster, T.1    Pang, M.2    Platt, R.W.3
  • 34
    • 0026708512 scopus 로고
    • Estimating exposure effects by modelling the expectation of exposure conditional on confounders
    • Robins JM, Mark SD, Whitney KN. Estimating exposure effects by modelling the expectation of exposure conditional on confounders. Biometrics. 1992;48(2):479–495.
    • (1992) Biometrics , vol.48 , Issue.2 , pp. 479-495
    • Robins, J.M.1    Mark, S.D.2    Whitney, K.N.3
  • 36
    • 80053281276 scopus 로고    scopus 로고
    • Effects of adjusting for instrumental variables on bias and precision of effect estimates
    • Myers JA, Rassen JA, Gagne JJ, et al. Effects of adjusting for instrumental variables on bias and precision of effect estimates. Am J Epidemiol. 2011;174(11):1213–1222.
    • (2011) Am J Epidemiol , vol.174 , Issue.11 , pp. 1213-1222
    • Myers, J.A.1    Rassen, J.A.2    Gagne, J.J.3
  • 37
    • 40049100642 scopus 로고    scopus 로고
    • Invited commentary: Variable selection versus shrinkage in the control of multiple confounders
    • discussion 530–531
    • Greenland S. Invited commentary: variable selection versus shrinkage in the control of multiple confounders. Am J Epidemiol. 2008;167(5):523–529; discussion 530–531.
    • (2008) Am J Epidemiol , vol.167 , Issue.5 , pp. 523-529
    • Greenland, S.1
  • 38
    • 0013916535 scopus 로고
    • Spurious effects from an extraneous variable
    • Bross ID. Spurious effects from an extraneous variable. J Chronic Dis. 1966;19(6):637–647.
    • (1966) J Chronic Dis , vol.19 , Issue.6 , pp. 637-647
    • Bross, I.D.1
  • 39
    • 79958845225 scopus 로고    scopus 로고
    • Covariate selection in high-dimensional propensity score analyses of treatment effects in small samples
    • Rassen JA, Glynn RJ, Brookhart MA, Schneeweiss S. Covariate selection in high-dimensional propensity score analyses of treatment effects in small samples. Am J Epidemiol. 2011;173(12):1404–1413.
    • (2011) Am J Epidemiol , vol.173 , Issue.12 , pp. 1404-1413
    • Rassen, J.A.1    Glynn, R.J.2    Brookhart, M.A.3    Schneeweiss, S.4
  • 40
    • 0035500992 scopus 로고    scopus 로고
    • Performance of comorbidity scores to control for confounding in epidemiologic studies using claims data
    • Schneeweiss S, Seeger JD, Maclure M, Wang PS, Avorn J, Glynn RJ. Performance of comorbidity scores to control for confounding in epidemiologic studies using claims data. Am J Epidemiol. 2001;154(9): 854–864.
    • (2001) Am J Epidemiol , vol.154 , Issue.9 , pp. 854-864
    • Schneeweiss, S.1    Seeger, J.D.2    Maclure, M.3    Wang, P.S.4    Avorn, J.5    Glynn, R.J.6
  • 41
    • 0030474271 scopus 로고    scopus 로고
    • A simulation study of the number of events per variable in logistic regression analysis
    • Peduzzi P, Concato J, Kemper E, Holford TR, Feinstein AR. A simulation study of the number of events per variable in logistic regression analysis. J Clin Epidemiol. 1996;49(12):1373–1379.
    • (1996) J Clin Epidemiol , vol.49 , Issue.12 , pp. 1373-1379
    • Peduzzi, P.1    Concato, J.2    Kemper, E.3    Holford, T.R.4    Feinstein, A.R.5
  • 42
    • 84943555084 scopus 로고    scopus 로고
    • Regularized regression versus the high-dimensional propensity score for confounding adjustment in secondary database analyses
    • Franklin JM, Eddings W, Glynn RJ, Schneeweiss S. Regularized regression versus the high-dimensional propensity score for confounding adjustment in secondary database analyses. Am J Epidemiol. 2015;182(7):651–659.
    • (2015) Am J Epidemiol , vol.182 , Issue.7 , pp. 651-659
    • Franklin, J.M.1    Eddings, W.2    Glynn, R.J.3    Schneeweiss, S.4
  • 43
    • 0041626110 scopus 로고    scopus 로고
    • Comparison of logistic regression versus propensity score when the number of events is low and there are multiple confounders
    • Cepeda MS, Boston R, Farrar JT, Strom BL. Comparison of logistic regression versus propensity score when the number of events is low and there are multiple confounders. Am J Epidemiol. 2003;158(3): 280–287.
    • (2003) Am J Epidemiol , vol.158 , Issue.3 , pp. 280-287
    • Cepeda, M.S.1    Boston, R.2    Farrar, J.T.3    Strom, B.L.4
  • 44
    • 77957301897 scopus 로고    scopus 로고
    • Treatment effects in the presence of unmeasured confounding: Dealing with observations in the tails of the propensity score distribution – a simulation study
    • Sturmer T, Rothman KJ, Avorn J, Glynn RJ. Treatment effects in the presence of unmeasured confounding: dealing with observations in the tails of the propensity score distribution – a simulation study. Am J Epidemiol. 2010;172(7):843–854.
    • (2010) Am J Epidemiol , vol.172 , Issue.7 , pp. 843-854
    • Sturmer, T.1    Rothman, K.J.2    Avorn, J.3    Glynn, R.J.4
  • 45
    • 85001975654 scopus 로고    scopus 로고
    • A propensity-score-based fine stratification approach for confounding adjustment when exposure is infrequent
    • Desai RJ, Rothman KJ, Bateman BT, Hernandez-Diaz S, Huybrechts KF. A propensity-score-based fine stratification approach for confounding adjustment when exposure is infrequent. Epidemiology. 2017;28(2):249–257.
    • (2017) Epidemiology , vol.28 , Issue.2 , pp. 249-257
    • Desai, R.J.1    Rothman, K.J.2    Bateman, B.T.3    Hernandez-Diaz, S.4    Huybrechts, K.F.5
  • 46
    • 0033839024 scopus 로고    scopus 로고
    • Marginal structural models to estimate the causal effect of zidovudine on the survival of HIV-positive men
    • Hernán MA, Brumback B, Robins JM. Marginal structural models to estimate the causal effect of zidovudine on the survival of HIV-positive men. Epidemiology. 2000;11(5):561–570.
    • (2000) Epidemiology , vol.11 , Issue.5 , pp. 561-570
    • Hernán, M.A.1    Brumback, B.2    Robins, J.M.3
  • 47
    • 85011663032 scopus 로고    scopus 로고
    • Matching weights to simultaneously compare three treatment groups: Comparison to three-way matching
    • Yoshida K, Hernandez-Diaz S, Solomon DH, et al. Matching weights to simultaneously compare three treatment groups: comparison to three-way matching. Epidemiology. 2017;28(3):387–395.
    • (2017) Epidemiology , vol.28 , Issue.3 , pp. 387-395
    • Yoshida, K.1    Hernandez-Diaz, S.2    Solomon, D.H.3
  • 48
    • 84861198702 scopus 로고    scopus 로고
    • Causal inference in epidemiological studies with strong confounding
    • Moore KL, Neugebauer R, van der Laan MJ, Tager IB. Causal inference in epidemiological studies with strong confounding. Stat Med. 2012;31(13):1380–1404.
    • (2012) Stat Med , vol.31 , Issue.13 , pp. 1380-1404
    • Moore, K.L.1    Neugebauer, R.2    van der Laan, M.J.3    Tager, I.B.4
  • 49
    • 58849157241 scopus 로고    scopus 로고
    • Use disease risk scores in pharmacoepidemiologic studies
    • Arbogast PG, Ray WA. Use disease risk scores in pharmacoepidemiologic studies. Stat Methods Med Res. 2009;18(1):67–80.
    • (2009) Stat Methods Med Res , vol.18 , Issue.1 , pp. 67-80
    • Arbogast, P.G.1    Ray, W.A.2
  • 50
    • 84962429855 scopus 로고    scopus 로고
    • Dimension reduction and shrinkage methods for high dimensional disease risk scores in historical data
    • Kumamaru H, Schneeweiss S, Glynn RJ, Setoguchi S, Gagne JJ. Dimension reduction and shrinkage methods for high dimensional disease risk scores in historical data. Emerg Themes Epidemiol. 2016;13:5.
    • (2016) Emerg Themes Epidemiol , vol.13 , pp. 5
    • Kumamaru, H.1    Schneeweiss, S.2    Glynn, R.J.3    Setoguchi, S.4    Gagne, J.J.5
  • 51
    • 84962109372 scopus 로고    scopus 로고
    • Comparison of high-dimensional confounder summary scores in comparative studies of newly marketed medications
    • Kumamaru H, Gagne JJ, Glynn RJ, Setoguchi S, Schneeweiss S. Comparison of high-dimensional confounder summary scores in comparative studies of newly marketed medications. J Clin Epidemiol. 2016;76:200–208.
    • (2016) J Clin Epidemiol , vol.76 , pp. 200-208
    • Kumamaru, H.1    Gagne, J.J.2    Glynn, R.J.3    Setoguchi, S.4    Schneeweiss, S.5
  • 52
    • 0034707105 scopus 로고    scopus 로고
    • VIGOR Study Group. Comparison of upper gastrointestinal toxicity of rofecoxib and naproxen in patients with rheumatoid arthritis. VIGOR Study Group
    • Bombardier C, Laine L, Reicin A, et al; VIGOR Study Group. Comparison of upper gastrointestinal toxicity of rofecoxib and naproxen in patients with rheumatoid arthritis. VIGOR Study Group. N Engl J Med. 2000;343(21):1520–1528.
    • (2000) N Engl J Med , vol.343 , Issue.21 , pp. 1520-1528
    • Bombardier, C.1    Laine, L.2    Reicin, A.3
  • 53
    • 0034644396 scopus 로고    scopus 로고
    • Gastrointestinal toxicity with celecoxib vs nonsteroidal anti-inflammatory drugs for osteo-arthritis and rheumatoid arthritis: The CLASS study: A randomized controlled trial. Celecoxib Long-term Arthritis Safety study
    • Silverstein FE, Faich G, Goldstein JL, et al. Gastrointestinal toxicity with celecoxib vs nonsteroidal anti-inflammatory drugs for osteo-arthritis and rheumatoid arthritis: the CLASS study: a randomized controlled trial. Celecoxib Long-term Arthritis Safety study. JAMA. 2000;284(10):1247–1255.
    • (2000) JAMA , vol.284 , Issue.10 , pp. 1247-1255
    • Silverstein, F.E.1    Faich, G.2    Goldstein, J.L.3
  • 54
    • 84877127012 scopus 로고    scopus 로고
    • High-dimensional versus conventional propensity scores in a comparative effectiveness study of coxibs and reduced upper gastrointestinal complications
    • Garbe E, Kloss S, Suling M, Pigeot I, Schneeweiss S. High-dimensional versus conventional propensity scores in a comparative effectiveness study of coxibs and reduced upper gastrointestinal complications. Eur J Clin Pharmacol. 2013;69(3):549–557.
    • (2013) Eur J Clin Pharmacol , vol.69 , Issue.3 , pp. 549-557
    • Garbe, E.1    Kloss, S.2    Suling, M.3    Pigeot, I.4    Schneeweiss, S.5
  • 55
    • 84887713758 scopus 로고    scopus 로고
    • Effects of aggregation of drug and diagnostic codes on the performance of the high-dimensional propensity score algorithm: An empirical example
    • Le HV, Poole C, Brookhart MA, et al. Effects of aggregation of drug and diagnostic codes on the performance of the high-dimensional propensity score algorithm: an empirical example. BMC Med Res Methodol. 2013;13:142.
    • (2013) BMC Med Res Methodol , vol.13 , pp. 142
    • Le, H.V.1    Poole, C.2    Brookhart, M.A.3
  • 56
    • 85009476055 scopus 로고    scopus 로고
    • Performance of the high-dimensional propensity score in a nordic healthcare model
    • Hallas J, Pottegard A. Performance of the high-dimensional propensity score in a nordic healthcare model. Basic Clin Pharmacol Toxicol. 2017;120(3):312–317.
    • (2017) Basic Clin Pharmacol Toxicol , vol.120 , Issue.3 , pp. 312-317
    • Hallas, J.1    Pottegard, A.2
  • 57
    • 79960704238 scopus 로고    scopus 로고
    • Confounding adjustment via a semi-automated high-dimensional propensity score algorithm: An application to electronic medical records
    • Toh S, Garcia Rodriguez LA, Hernan MA. Confounding adjustment via a semi-automated high-dimensional propensity score algorithm: an application to electronic medical records. Pharmacoepidemiol Drug Saf. 2011;20(8):849–857.
    • (2011) Pharmacoepidemiol Drug Saf , vol.20 , Issue.8 , pp. 849-857
    • Toh, S.1    Garcia Rodriguez, L.A.2    Hernan, M.A.3
  • 58
    • 84978027801 scopus 로고    scopus 로고
    • Considerations for the analysis of longitudinal electronic health records linked to claims data to study the effectiveness and safety of drugs
    • Lin KJ, Schneeweiss S. Considerations for the analysis of longitudinal electronic health records linked to claims data to study the effectiveness and safety of drugs. Clin Pharmacol Ther. 2016;100(2):147–159.
    • (2016) Clin Pharmacol Ther , vol.100 , Issue.2 , pp. 147-159
    • Lin, K.J.1    Schneeweiss, S.2
  • 59
    • 85022060877 scopus 로고    scopus 로고
    • Sentinel modular program for propensity score-matched cohort analyses: Application to glyburide, glipi-zide, and serious hypoglycemia
    • Zhou M, Wang SV, Leonard CE, et al. Sentinel modular program for propensity score-matched cohort analyses: application to glyburide, glipi-zide, and serious hypoglycemia. Epidemiology. 2017;28(6):838–846.
    • (2017) Epidemiology , vol.28 , Issue.6 , pp. 838-846
    • Zhou, M.1    Wang, S.V.2    Leonard, C.E.3
  • 60
    • 33846690465 scopus 로고    scopus 로고
    • A systematic review and meta-analysis of hypoglycemia and cardiovascular events: A comparison of glyburide with other secretagogues and with insulin
    • Gangji AS, Cukierman T, Gerstein HC, Goldsmith CH, Clase CM. A systematic review and meta-analysis of hypoglycemia and cardiovascular events: a comparison of glyburide with other secretagogues and with insulin. Diabetes Care. 2007;30(2):389–394.
    • (2007) Diabetes Care , vol.30 , Issue.2 , pp. 389-394
    • Gangji, A.S.1    Cukierman, T.2    Gerstein, H.C.3    Goldsmith, C.H.4    Clase, C.M.5
  • 61
    • 85010645220 scopus 로고    scopus 로고
    • The potential of high-dimensional propensity scores in health services research: An exemplary study on the quality of care for elective percutaneous coronary interventions
    • Enders D, Ohlmeier C, Garbe E. The potential of high-dimensional propensity scores in health services research: an exemplary study on the quality of care for elective percutaneous coronary interventions. Health Serv Res. 2018;53(1):197–213.
    • (2018) Health Serv Res , vol.53 , Issue.1 , pp. 197-213
    • Enders, D.1    Ohlmeier, C.2    Garbe, E.3
  • 62
    • 84860551273 scopus 로고    scopus 로고
    • Confronting “confounding by health system use” in Medicare part D: Comparative effectiveness of propensity score approaches to confounding adjustment
    • Polinski JM, Schneeweiss S, Glynn RJ, Lii J, Rassen JA. Confronting “confounding by health system use” in Medicare part D: comparative effectiveness of propensity score approaches to confounding adjustment. Pharmacoepidemiol Drug Saf. 2012;21(suppl 2):90–98.
    • (2012) Pharmacoepidemiol Drug Saf , vol.21 , pp. 90-98
    • Polinski, J.M.1    Schneeweiss, S.2    Glynn, R.J.3    Lii, J.4    Rassen, J.A.5
  • 64
    • 1542469617 scopus 로고    scopus 로고
    • CPPRG. Marginal mean models for dynamic regimes
    • Murphy SA, van der Laan MJ, Robins JM; CPPRG. Marginal mean models for dynamic regimes. J Am Stat Assoc. 2001;96(456):1410–1423.
    • (2001) J am Stat Assoc , vol.96 , Issue.456 , pp. 1410-1423
    • Murphy, S.A.1    van der Laan, M.J.2    Robins, J.M.3
  • 65
    • 84921600598 scopus 로고    scopus 로고
    • High-dimensional propensity score algorithm in comparative effectiveness research with time-varying interventions
    • Neugebauer R, Schmittdiel JA, Zhu Z, Rassen JA, Seeger JD, Schneeweiss S. High-dimensional propensity score algorithm in comparative effectiveness research with time-varying interventions. Stat Med. 2015;34(5):753–781.
    • (2015) Stat Med , vol.34 , Issue.5 , pp. 753-781
    • Neugebauer, R.1    Schmittdiel, J.A.2    Zhu, Z.3    Rassen, J.A.4    Seeger, J.D.5    Schneeweiss, S.6
  • 66
    • 0033847784 scopus 로고    scopus 로고
    • Marginal structural models and causal inference in epidemiology
    • Robins JM, Hernan MA, Brumback B. Marginal structural models and causal inference in epidemiology. Epidemiology. 2000;11(5):550–560.
    • (2000) Epidemiology , vol.11 , Issue.5 , pp. 550-560
    • Robins, J.M.1    Hernan, M.A.2    Brumback, B.3
  • 67
    • 84890553945 scopus 로고    scopus 로고
    • Plasmode simulation for the evaluation of pharmacoepidemiologic methods in complex healthcare databases
    • Franklin JM, Schneeweiss S, Polinski JM, Rassen JA. Plasmode simulation for the evaluation of pharmacoepidemiologic methods in complex healthcare databases. Comput Stat Data Anal. 2014;72:219–226.
    • (2014) Comput Stat Data Anal , vol.72 , pp. 219-226
    • Franklin, J.M.1    Schneeweiss, S.2    Polinski, J.M.3    Rassen, J.A.4
  • 68
    • 85044287906 scopus 로고    scopus 로고
    • Using super learner prediction modeling to improve high-dimensional propensity score estimation
    • Wyss R, Schneeweiss S, van der Laan M, Lendle SD, Ju C, Franklin JM. Using super learner prediction modeling to improve high-dimensional propensity score estimation. Epidemiology. 2018;29(1):96–106.
    • (2018) Epidemiology , vol.29 , Issue.1 , pp. 96-106
    • Wyss, R.1    Schneeweiss, S.2    van der Laan, M.3    Lendle, S.D.4    Ju, C.5    Franklin, J.M.6
  • 69
    • 84905487760 scopus 로고    scopus 로고
    • On the joint use of propensity and prognostic scores in estimation of the average treatment effect on the treated: A simulation study
    • Leacy FP, Stuart EA. On the joint use of propensity and prognostic scores in estimation of the average treatment effect on the treated: a simulation study. Stat Med. 2014;33(20):3488–3508.
    • (2014) Stat Med , vol.33 , Issue.20 , pp. 3488-3508
    • Leacy, F.P.1    Stuart, E.A.2
  • 70
    • 84984804382 scopus 로고    scopus 로고
    • Performance of the high-dimensional propensity score in adjusting for unmeasured confounders
    • Guertin JR, Rahme E, LeLorier J. Performance of the high-dimensional propensity score in adjusting for unmeasured confounders. Eur J Clin Pharmacol. 2016;72(12):1497–1505.
    • (2016) Eur J Clin Pharmacol , vol.72 , Issue.12 , pp. 1497-1505
    • Guertin, J.R.1    Rahme, E.2    Lelorier, J.3
  • 71
    • 77951622706 scopus 로고
    • The central role of propensity scores in observational studies for causal effects
    • Rosenbaum PR, Rubin DB. The central role of propensity scores in observational studies for causal effects. Biometrika. 1983;70(1):41–55.
    • (1983) Biometrika , vol.70 , Issue.1 , pp. 41-55
    • Rosenbaum, P.R.1    Rubin, D.B.2
  • 72
    • 0030862072 scopus 로고    scopus 로고
    • Estimating causal effects from large data sets using propensity scores
    • Rubin DB. Estimating causal effects from large data sets using propensity scores. Ann Intern Med. 1997;127(8 pt 2):757–763.
    • (1997) Ann Intern Med , vol.127 , Issue.8 , pp. 757-763
    • Rubin, D.B.1
  • 74
    • 74749097452 scopus 로고    scopus 로고
    • Improving propensity score weighting using machine learning
    • Lee BK, Lessler J, Stuart EA. Improving propensity score weighting using machine learning. Stat Med. 2010;29(3):337–346.
    • (2010) Stat Med , vol.29 , Issue.3 , pp. 337-346
    • Lee, B.K.1    Lessler, J.2    Stuart, E.A.3
  • 75
    • 77953607621 scopus 로고    scopus 로고
    • Propensity score estimation: Neural networks, support vector machines, decision trees (CART), and meta-classifiers as alternatives to logistic regression
    • Westreich D, Lessler J, Funk MJ. Propensity score estimation: neural networks, support vector machines, decision trees (CART), and meta-classifiers as alternatives to logistic regression. J Clin Epidemiol. 2010;63(8):826–833.
    • (2010) J Clin Epidemiol , vol.63 , Issue.8 , pp. 826-833
    • Westreich, D.1    Lessler, J.2    Funk, M.J.3
  • 76
    • 85017149860 scopus 로고    scopus 로고
    • Using classification tree analysis to generate propensity score weights
    • Linden A, Yarnold PR. Using classification tree analysis to generate propensity score weights. J Eval Clin Pract. 2017;23(4):703–712.
    • (2017) J Eval Clin Pract , vol.23 , Issue.4 , pp. 703-712
    • Linden, A.1    Yarnold, P.R.2
  • 77
    • 84856039288 scopus 로고    scopus 로고
    • Invited commentary: Understanding bias amplification
    • discussion 1228–1229
    • Pearl J. Invited commentary: understanding bias amplification. Am J Epidemiol. 2011;174(11):1223–1227; discussion 1228–1229.
    • (2011) Am J Epidemiol , vol.174 , Issue.11 , pp. 1223-1227
    • Pearl, J.1
  • 78
    • 84992363430 scopus 로고    scopus 로고
    • Variable selection for confounding adjustment in high-dimensional covariate spaces when analyzing healthcare databases
    • Schneeweiss S, Eddings W, Glynn RJ, Patorno E, Rassen J, Franklin JM. Variable selection for confounding adjustment in high-dimensional covariate spaces when analyzing healthcare databases. Epidemiology. 2017;28(2):237–248.
    • (2017) Epidemiology , vol.28 , Issue.2 , pp. 237-248
    • Schneeweiss, S.1    Eddings, W.2    Glynn, R.J.3    Patorno, E.4    Rassen, J.5    Franklin, J.M.6
  • 79
    • 85048403219 scopus 로고    scopus 로고
    • Can we train machine learning methods to outperform the high-dimensional propensity score algorithm?
    • Karim ME, Pang M, Platt RW. Can we train machine learning methods to outperform the high-dimensional propensity score algorithm? Epidemiology. 2018;29(2):191–198.
    • (2018) Epidemiology , vol.29 , Issue.2 , pp. 191-198
    • Karim, M.E.1    Pang, M.2    Platt, R.W.3
  • 80
    • 85014657421 scopus 로고    scopus 로고
    • Outcome-adaptive lasso: Variable selection for causal inference
    • Shortreed SM, Ertefaie A. Outcome-adaptive lasso: variable selection for causal inference. Biometrics. 2017;73(4):1111–1122.
    • (2017) Biometrics , vol.73 , Issue.4 , pp. 1111-1122
    • Shortreed, S.M.1    Ertefaie, A.2
  • 81
    • 84894153340 scopus 로고    scopus 로고
    • Studies with many covariates and few outcomes: Selecting covariates and implementing propensity-score-based confounding adjustments
    • Patorno E, Glynn RJ, Hernandez-Diaz S, Liu J, Schneeweiss S. Studies with many covariates and few outcomes: selecting covariates and implementing propensity-score-based confounding adjustments. Epidemiology. 2014;25(2):268–278.
    • (2014) Epidemiology , vol.25 , Issue.2 , pp. 268-278
    • Patorno, E.1    Glynn, R.J.2    Hernandez-Diaz, S.3    Liu, J.4    Schneeweiss, S.5
  • 83
    • 85057747345 scopus 로고    scopus 로고
    • Scalable collaborative targeted learning for high-dimensional data. Stat Methods Med Res
    • Jan
    • Ju C, Gruber S, Lendle SD, et al. Scalable collaborative targeted learning for high-dimensional data. Stat Methods Med Res. Epub 2017 Jan 1.
    • (2017) Epub , pp. 1
    • Ju, C.1    Gruber, S.2    Lendle, S.D.3
  • 84
    • 81355139590 scopus 로고    scopus 로고
    • Assessing the comparative effectiveness of newly marketed medications: Methodological challenges and implications for drug development
    • Schneeweiss S, Gagne JJ, Glynn RJ, Ruhl M, Rassen JA. Assessing the comparative effectiveness of newly marketed medications: methodological challenges and implications for drug development. Clin Pharmacol Ther. 2011;90(6):777–790.
    • (2011) Clin Pharmacol Ther , vol.90 , Issue.6 , pp. 777-790
    • Schneeweiss, S.1    Gagne, J.J.2    Glynn, R.J.3    Ruhl, M.4    Rassen, J.A.5
  • 85
    • 85013290379 scopus 로고    scopus 로고
    • Comparing the performance of propensity score methods in healthcare database studies with rare outcomes
    • Franklin JM, Eddings W, Austin PC, Stuart EA, Schneeweiss S. Comparing the performance of propensity score methods in healthcare database studies with rare outcomes. Stat Med. 2017;36(12):1946–1963.
    • (2017) Stat Med , vol.36 , Issue.12 , pp. 1946-1963
    • Franklin, J.M.1    Eddings, W.2    Austin, P.C.3    Stuart, E.A.4    Schneeweiss, S.5
  • 86
    • 84860599298 scopus 로고    scopus 로고
    • Role of disease risk scores in comparative effectiveness research with emerging therapies
    • Glynn RJ, Gagne JJ, Schneeweiss S. Role of disease risk scores in comparative effectiveness research with emerging therapies. Pharmacoepidemiol Drug Saf. 2012;21(suppl 2):138–147.
    • (2012) Pharmacoepidemiol Drug Saf , vol.21 , pp. 138-147
    • Glynn, R.J.1    Gagne, J.J.2    Schneeweiss, S.3
  • 87
    • 39349101029 scopus 로고    scopus 로고
    • Immortal time bias in pharmaco-epidemiology
    • Suissa S. Immortal time bias in pharmaco-epidemiology. Am J Epidemiol. 2008;167(4):492–499.
    • (2008) Am J Epidemiol , vol.167 , Issue.4 , pp. 492-499
    • Suissa, S.1
  • 88
    • 67651021231 scopus 로고    scopus 로고
    • Overadjustment bias and unnecessary adjustment in epidemiologic studies
    • Schisterman EF, Cole SR, Platt RW. Overadjustment bias and unnecessary adjustment in epidemiologic studies. Epidemiology. 2009;20(4):488–495.
    • (2009) Epidemiology , vol.20 , Issue.4 , pp. 488-495
    • Schisterman, E.F.1    Cole, S.R.2    Platt, R.W.3
  • 89
    • 0032924944 scopus 로고    scopus 로고
    • Causal diagrams for epidemiologic research
    • Greenland S, Pearl J, Robins JM. Causal diagrams for epidemiologic research. Epidemiology. 1999;10(1):37–48.
    • (1999) Epidemiology , vol.10 , Issue.1 , pp. 37-48
    • Greenland, S.1    Pearl, J.2    Robins, J.M.3
  • 90
    • 79958797865 scopus 로고    scopus 로고
    • Impact of collider-stratification bias (M-bias) in pharmacoepidemiologic studies: A simulation study
    • Liu W, Brookhart MA, Setoguchi S. Impact of collider-stratification bias (M-bias) in pharmacoepidemiologic studies: a simulation study. Pharmacoepidemiol Drug Saf. 2010;19(S1):S212.
    • (2010) Pharmacoepidemiol Drug Saf , vol.19 , pp. S212
    • Liu, W.1    Brookhart, M.A.2    Setoguchi, S.3
  • 91
    • 0038334174 scopus 로고    scopus 로고
    • Quantifying biases in causal models: Classical confounding vs collider-stratification bias
    • Greenland S. Quantifying biases in causal models: classical confounding vs collider-stratification bias. Epidemiology. 2003;14(3):300–306.
    • (2003) Epidemiology , vol.14 , Issue.3 , pp. 300-306
    • Greenland, S.1
  • 93
    • 0346880128 scopus 로고    scopus 로고
    • Identification of causal effects using instrumental variables
    • Angrist JD, Imbens G, Rubin DB. Identification of causal effects using instrumental variables. J Am Stat Assoc. 1996;94(434):444–455.
    • (1996) J am Stat Assoc , vol.94 , Issue.434 , pp. 444-455
    • Angrist, J.D.1    Imbens, G.2    Rubin, D.B.3
  • 94
    • 77953519101 scopus 로고    scopus 로고
    • Instrumental variable methods in comparative safety and effectiveness research
    • Brookhart MA, Rassen JA, Schneeweiss S. Instrumental variable methods in comparative safety and effectiveness research. Pharmacoepidemiol Drug Saf. 2010;19(6):537–554.
    • (2010) Pharmacoepidemiol Drug Saf , vol.19 , Issue.6 , pp. 537-554
    • Brookhart, M.A.1    Rassen, J.A.2    Schneeweiss, S.3
  • 95
    • 85049029501 scopus 로고    scopus 로고
    • Data-driven confounder selection via Markov and Bayesian networks
    • Haggstrom J. Data-driven confounder selection via Markov and Bayesian networks. Biometrics. 2017.
    • (2017) Biometrics
    • Haggstrom, J.1
  • 96
    • 85049004762 scopus 로고    scopus 로고
    • Discussion of “data-driven confounder selection via Markov and Bayesian networks” by Jenny Haggstrom
    • Kennedy EH, Balakrishnan S. Discussion of “data-driven confounder selection via Markov and Bayesian networks” by Jenny Haggstrom. Biometrics. 2017.
    • (2017) Biometrics
    • Kennedy, E.H.1    Balakrishnan, S.2
  • 97
    • 84929512412 scopus 로고    scopus 로고
    • Toward a science of learning systems: A research agenda for the high-functioning learning health system
    • Friedman C, Rubin J, Brown J, et al. Toward a science of learning systems: a research agenda for the high-functioning learning health system. J Am Med Inform Assoc. 2015;22(1):43–50.
    • (2015) J am Med Inform Assoc , vol.22 , Issue.1 , pp. 43-50
    • Friedman, C.1    Rubin, J.2    Brown, J.3
  • 98
    • 84862684037 scopus 로고    scopus 로고
    • The use of pioglitazone and the risk of bladder cancer in people with type 2 diabetes: Nested case-control study
    • Azoulay L, Yin H, Filion KB, et al. The use of pioglitazone and the risk of bladder cancer in people with type 2 diabetes: nested case-control study. BMJ. 2012;344:e3645.
    • (2012) BMJ , vol.344 , pp. e3645
    • Azoulay, L.1    Yin, H.2    Filion, K.B.3
  • 99
    • 84901704225 scopus 로고    scopus 로고
    • Canadian Network for Observational Drug Effect Studies Investigators. Higher potency statins and the risk of new diabetes: Multicentre, observational study of administrative databases
    • Dormuth CR, Filion KB, Paterson JM, et al; Canadian Network for Observational Drug Effect Studies Investigators. Higher potency statins and the risk of new diabetes: multicentre, observational study of administrative databases. BMJ. 2014;348:g3244.
    • (2014) BMJ , vol.348 , pp. g3244
    • Dormuth, C.R.1    Filion, K.B.2    Paterson, J.M.3
  • 100
    • 85035122005 scopus 로고    scopus 로고
    • Sulfonylureas as initial treatment for type 2 diabetes and the risk of severe hypoglycemia
    • e322
    • Yu O, Azoulay L, Yin H, Filion KB, Suissa S. Sulfonylureas as initial treatment for type 2 diabetes and the risk of severe hypoglycemia. Am J Med. 2018;131(3):317.e311–317.e322.
    • (2018) Am J Med , vol.131 , Issue.3 , pp. e311-e317
    • Yu, O.1    Azoulay, L.2    Yin, H.3    Filion, K.B.4    Suissa, S.5
  • 102
    • 70449365700 scopus 로고    scopus 로고
    • Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples
    • Austin PC. Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples. Stat Med. 2009;28(25):3083–3107.
    • (2009) Stat Med , vol.28 , Issue.25 , pp. 3083-3107
    • Austin, P.C.1
  • 103
    • 84881589353 scopus 로고    scopus 로고
    • Evaluating the impact of database heterogeneity on observational study results
    • Madigan D, Ryan PB, Schuemie M, et al. Evaluating the impact of database heterogeneity on observational study results. Am J Epidemiol. 2013;178(4):645–651.
    • (2013) Am J Epidemiol , vol.178 , Issue.4 , pp. 645-651
    • Madigan, D.1    Ryan, P.B.2    Schuemie, M.3
  • 104
    • 84901812175 scopus 로고    scopus 로고
    • A modular, prospective, semi-automated drug safety monitoring system for use in a distributed data environment
    • Gagne JJ, Wang SV, Rassen JA, Schneeweiss S. A modular, prospective, semi-automated drug safety monitoring system for use in a distributed data environment. Pharmacoepidemiol Drug Saf. 2014;23(6): 619–627.
    • (2014) Pharmacoepidemiol Drug Saf , vol.23 , Issue.6 , pp. 619-627
    • Gagne, J.J.1    Wang, S.V.2    Rassen, J.A.3    Schneeweiss, S.4
  • 105
    • 85057738861 scopus 로고    scopus 로고
    • Development and application of two semi-automated tools for targeted medical product surveillance in a distributed data network
    • Connolly JG, Wang SV, Fuller CC, et al. Development and application of two semi-automated tools for targeted medical product surveillance in a distributed data network. Curr Epidemiol Rep. 2017;4(4): 298–306.
    • (2017) Curr Epidemiol Rep , vol.4 , Issue.4 , pp. 298-306
    • Connolly, J.G.1    Wang, S.V.2    Fuller, C.C.3
  • 106
    • 84990226922 scopus 로고    scopus 로고
    • Successful comparison of US Food and Drug Administration sentinel analysis tools to traditional approaches in quantifying a known drug-adverse event association
    • Gagne JJ, Han X, Hennessy S, et al. Successful comparison of US Food and Drug Administration sentinel analysis tools to traditional approaches in quantifying a known drug-adverse event association. Clin Pharmacol Ther. 2016;100(5):558–564.
    • (2016) Clin Pharmacol Ther , vol.100 , Issue.5 , pp. 558-564
    • Gagne, J.J.1    Han, X.2    Hennessy, S.3
  • 107
    • 84895479775 scopus 로고    scopus 로고
    • CNODES Investigators. Proton pump inhibitors and the risk of hospitalisation for community-acquired pneumonia: Replicated cohort studies with meta-analysis
    • Filion KB, Chateau D, Targownik LE, et al; CNODES Investigators. Proton pump inhibitors and the risk of hospitalisation for community-acquired pneumonia: replicated cohort studies with meta-analysis. Gut. 2014;63(4):552–558.
    • (2014) Gut , vol.63 , Issue.4 , pp. 552-558
    • Filion, K.B.1    Chateau, D.2    Targownik, L.E.3
  • 108
    • 84962323033 scopus 로고    scopus 로고
    • A multicenter observational study of incretin-based drugs and heart failure
    • Filion KB, Azoulay L, Platt RW, et al. A multicenter observational study of incretin-based drugs and heart failure. N Engl J Med. 2016;374(12):1145–1154.
    • (2016) N Engl J Med , vol.374 , Issue.12 , pp. 1145-1154
    • Filion, K.B.1    Azoulay, L.2    Platt, R.W.3
  • 110
    • 84966318717 scopus 로고    scopus 로고
    • Illuminating drug action by network integration of disease genes: A case study of myocardial infarction
    • Wang RS, Loscalzo J. Illuminating drug action by network integration of disease genes: a case study of myocardial infarction. Mol Biosyst. 2016;12(5):1653–1666.
    • (2016) Mol Biosyst , vol.12 , Issue.5 , pp. 1653-1666
    • Wang, R.S.1    Loscalzo, J.2
  • 111
    • 85050009917 scopus 로고    scopus 로고
    • Network-based approach to prediction and population-based validation of in silico drug repurposing
    • Cheng F, Desai RJ, Handy DE, et al. Network-based approach to prediction and population-based validation of in silico drug repurposing. Nat Commun. 2018.
    • (2018) Nat Commun
    • Cheng, F.1    Desai, R.J.2    Handy, D.E.3
  • 112
    • 67651052307 scopus 로고    scopus 로고
    • Exhaustion, automation, theory, and confounding
    • Joffe MM. Exhaustion, automation, theory, and confounding. Epidemiology. 2009;20(4):523–524.
    • (2009) Epidemiology , vol.20 , Issue.4 , pp. 523-524
    • Joffe, M.M.1
  • 113
    • 85044539301 scopus 로고    scopus 로고
    • Comparative safety of sulfonylureas and the risk of sudden cardiac arrest and ventricular arrhythmia
    • Leonard CE, Brensinger CM, Aquilante CL, et al. Comparative safety of sulfonylureas and the risk of sudden cardiac arrest and ventricular arrhythmia. Diabetes Care. 2018;41(4):713–722.
    • (2018) Diabetes Care , vol.41 , Issue.4 , pp. 713-722
    • Leonard, C.E.1    Brensinger, C.M.2    Aquilante, C.L.3
  • 114
    • 85040640331 scopus 로고    scopus 로고
    • Claims-based studies of oral glucose-lowering medications can achieve balance in critical clinical parameters only observed in electronic health records
    • Patorno E, Gopalakrishnan C, Franklin JM, et al. Claims-based studies of oral glucose-lowering medications can achieve balance in critical clinical parameters only observed in electronic health records. Diabetes Obes Metab. 2017;20(4):974–984.
    • (2017) Diabetes Obes Metab , vol.20 , Issue.4 , pp. 974-984
    • Patorno, E.1    Gopalakrishnan, C.2    Franklin, J.M.3
  • 115
    • 40949089705 scopus 로고    scopus 로고
    • Supplementary data collection with case-cohort analysis to address potential confounding in a cohort study of thromboembolism in oral contraceptive initiators matched on claims-based propensity scores
    • Eng PM, Seeger JD, Loughlin J, Clifford CR, Mentor S, Walker AM. Supplementary data collection with case-cohort analysis to address potential confounding in a cohort study of thromboembolism in oral contraceptive initiators matched on claims-based propensity scores. Pharmacoepidemiol Drug Saf. 2008;17(3):297–305.
    • (2008) Pharmacoepidemiol Drug Saf , vol.17 , Issue.3 , pp. 297-305
    • Eng, P.M.1    Seeger, J.D.2    Loughlin, J.3    Clifford, C.R.4    Mentor, S.5    Walker, A.M.6
  • 116
    • 84869102347 scopus 로고    scopus 로고
    • Comparative risk for angioedema associated with the use of drugs that target the renin-angiotensin-aldosterone system
    • Toh S, Reichman ME, Houstoun M, et al. Comparative risk for angioedema associated with the use of drugs that target the renin-angiotensin-aldosterone system. Arch Int Med. 2012;172:1582.
    • (2012) Arch Int Med , vol.172 , pp. 1582
    • Toh, S.1    Reichman, M.E.2    Houstoun, M.3
  • 117
    • 73449122247 scopus 로고    scopus 로고
    • Cardiovascular outcomes and mortality in patients using clopidogrel with PPIs after percutaneous coronary intervention
    • Rassen JA, Choudhry NK, Avorn J, Schneeweiss S. Cardiovascular outcomes and mortality in patients using clopidogrel with PPIs after percutaneous coronary intervention. Circulation. 2009;120:2322–2329.
    • (2009) Circulation , vol.120 , pp. 2322-2329
    • Rassen, J.A.1    Choudhry, N.K.2    Avorn, J.3    Schneeweiss, S.4
  • 118
    • 77951824710 scopus 로고    scopus 로고
    • The comparative safety of antidepressant agents in children regarding suicidal acts
    • Schneeweiss S, Patrick AR, Solomon DH, et al. The comparative safety of antidepressant agents in children regarding suicidal acts. Pediatrics. 2010;125:876–888.
    • (2010) Pediatrics , vol.125 , pp. 876-888
    • Schneeweiss, S.1    Patrick, A.R.2    Solomon, D.H.3
  • 119
    • 77951808321 scopus 로고    scopus 로고
    • Variation in the risk of suicide attempts and completed suicides by antidepressant agent in adults
    • Schneeweiss S, Patrick AR, Solomon DH, et al. Variation in the risk of suicide attempts and completed suicides by antidepressant agent in adults. Arch Gen Psychiatry. 2010;67:497–506.
    • (2010) Arch Gen Psychiatry , vol.67 , pp. 497-506
    • Schneeweiss, S.1    Patrick, A.R.2    Solomon, D.H.3
  • 120
    • 77950903719 scopus 로고    scopus 로고
    • Anticonvulsant medications and the risk of suicide, attempted suicide, or violent death
    • Patorno E, Bohn RL, Wahl PM, et al. Anticonvulsant medications and the risk of suicide, attempted suicide, or violent death. JAMA. 2010;303:1401–1409.
    • (2010) JAMA , vol.303 , pp. 1401-1409
    • Patorno, E.1    Bohn, R.L.2    Wahl, P.M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.