-
1
-
-
18044374934
-
What do we show and who does so? An analysis of the abstracts presented at the 19th ICPE
-
Arana A, Rivero E, Egberts TCG. What do we show and who does so? An analysis of the abstracts presented at the 19th ICPE. Pharmacoepidemiol Drug Saf. 2004; 13: S330-1.
-
(2004)
Pharmacoepidemiol Drug Saf
, vol.13
-
-
Arana, A.1
Rivero, E.2
Egberts, T.C.G.3
-
2
-
-
18044398603
-
Using health care utilization databases for epidemiologic research on therapeutics
-
Schneeweiss S, Avorn J. Using health care utilization databases for epidemiologic research on therapeutics. J Clin Epidemiol. 2005; 58: 323-37.
-
(2005)
J Clin Epidemiol
, vol.58
, pp. 323-337
-
-
Schneeweiss, S.1
Avorn, J.2
-
3
-
-
0025690750
-
Use of automated databases for Pharmacoepidemiology research
-
Strom BL, Carson JL. Use of automated databases for Pharmacoepidemiology research. Epidemiol Rev. 1990; 12: 87-107.
-
(1990)
Epidemiol Rev
, vol.12
, pp. 87-107
-
-
Strom, B.L.1
Carson, J.L.2
-
4
-
-
0030187757
-
Confounding by indication
-
Walker AM. Confounding by indication. Epidemiology. 1996; 7(4): 335-6.
-
(1996)
Epidemiology
, vol.7
, Issue.4
, pp. 335-336
-
-
Walker, A.M.1
-
5
-
-
0025805153
-
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): 577-81.
-
(1991)
Stat Med
, vol.10
, Issue.4
, pp. 577-581
-
-
Petri, H.1
Urquhart, J.2
-
6
-
-
0004188552
-
-
An Introduction to the Methods of Epidemiology. Newton Lower Falls, MA: Epidemiology Resources Inc
-
Walker AM. Observation and inference. An Introduction to the Methods of Epidemiology. Newton Lower Falls, MA: Epidemiology Resources Inc.; 1991: 119-28.
-
(1991)
Observation and Inference
, pp. 119-128
-
-
Walker, A.M.1
-
7
-
-
18044398603
-
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): 323-37.
-
(2005)
J Clin Epidemiol
, vol.58
, Issue.4
, pp. 323-337
-
-
Schneeweiss, S.1
Avorn, J.2
-
8
-
-
77953632279
-
Confounding control in healthcare database research: Challenges and potential approaches
-
Brookhart MA, Sturmer T, Glynn RJ, et al. Confounding control in healthcare database research: challenges and potential approaches. Med Care 2010; 48(6 Suppl): S114-20.
-
(2010)
Med Care
, vol.48
, Issue.6 SUPPL.
-
-
Brookhart, M.A.1
Sturmer, T.2
Glynn, R.J.3
-
9
-
-
34848867584
-
Use of propensity score technique to account for exposure related covariates: An example and lesson
-
Seeger JD, Kurth T, Walker AM. Use of propensity score technique to account for exposure related covariates: an example and lesson. Med Care. 2007; 45(Supl 2): S143-8.
-
(2007)
Med Care
, vol.45
, Issue.SUPPL. 2
-
-
Seeger, J.D.1
Kurth, T.2
Walker, A.M.3
-
10
-
-
0032924944
-
Causal diagrams for epidemiologic research
-
Jan
-
Greenland S, Pearl J, Robins JM. Causal diagrams for epidemiologic research. Epidemiology. 1999 Jan; 10(1): 37-48.
-
(1999)
Epidemiology
, vol.10
, Issue.1
, pp. 37-48
-
-
Greenland, S.1
Pearl, J.2
Robins, J.M.3
-
11
-
-
77950655948
-
-
Chapman & Hall/CRC, 2013
-
Hernan MA, Robins JM. Causal Inference (Chapman & Hall/CRC, 2013). http://www.hsph.harvard.edu/miguelhernan/causal-inference-book/.
-
Causal Inference
-
-
Hernan, M.A.1
Robins, J.M.2
-
12
-
-
0030474271
-
A simulation study of the number of events per variable in logistic regression analysis
-
Peduzzi P, Concato J, Kemper E, et al. A simulation study of the number of events per variable in logistic regression analysis. J Clin Epidemiol. 1996; 49(12): 1373-9.
-
(1996)
J Clin Epidemiol
, vol.49
, Issue.12
, pp. 1373-1379
-
-
Peduzzi, P.1
Concato, J.2
Kemper, E.3
-
13
-
-
77951622706
-
The central role of the propensity score in observational studies for causal effects
-
Rosenbaum PR, Rubin DB. The central role of the propensity score 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
-
14
-
-
33645210305
-
Indications for Propensity Scores and Review of Their Use in Pharmacoepidemiology
-
Glynn RJ, Schneeweiss S, Stürmer T. Indications for Propensity Scores and Review of Their Use in Pharmacoepidemiology. Basic Clin Pharmacol Toxicol. 2006; 98(3): 253-9.
-
(2006)
Basic Clin Pharmacol Toxicol
, vol.98
, Issue.3
, pp. 253-259
-
-
Glynn, R.J.1
Schneeweiss, S.2
Stürmer, T.3
-
15
-
-
46349084991
-
Evaluating uses of data mining techniques in propensity score estimation: A simulation study
-
546.5
-
Setoguchi S, Schneeweiss S, Brookhart MA, et al. Evaluating uses of data mining techniques in propensity score estimation: a simulation study. Pharmacoepidemiol Drug Saf 2008; 17: 546.5.
-
(2008)
Pharmacoepidemiol Drug Saf
, vol.17
-
-
Setoguchi, S.1
Schneeweiss, S.2
Brookhart, M.A.3
-
16
-
-
3543135271
-
Propensity score methods for bias reduction in the comparison of a treatment to a nonrandomized control group
-
D'Agostino RB Jr. Propensity score methods for bias reduction in the comparison of a treatment to a nonrandomized control group. Stat Med 1998; 17(19): 2265-81.
-
(1998)
Stat Med
, vol.17
, Issue.19
, pp. 2265-2281
-
-
D'agostino Jr., R.B.1
-
17
-
-
0037108832
-
Rare outcomes, common treatments: Analytic strategies using propensity scores
-
Braitman LE, Rosenbaum PR. Rare outcomes, common treatments: analytic strategies using propensity scores. Ann Intern Med 2002; 137: 693-5.
-
(2002)
Ann Intern Med
, vol.137
, pp. 693-695
-
-
Braitman, L.E.1
Rosenbaum, P.R.2
-
19
-
-
0030862072
-
Estimating causal effects from large data sets using the propensity score
-
Rubin DB. Estimating causal effects from large data sets using the propensity score. Ann Intern Med 1997; 127: 757-63.
-
(1997)
Ann Intern Med
, vol.127
, pp. 757-763
-
-
Rubin, D.B.1
-
20
-
-
33645236260
-
Variable selection for propensity score models
-
Brookhart MA, Schneeweiss S, Rothman KJ, et al. Variable selection for propensity score models. Am J Epidemiol. 2006; 163(12): 1149-56.
-
(2006)
Am J Epidemiol
, vol.163
, Issue.12
, pp. 1149-1156
-
-
Brookhart, M.A.1
Schneeweiss, S.2
Rothman, K.J.3
-
21
-
-
80053281276
-
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): 1213-22.
-
(2011)
Am J Epidemiol
, vol.174
, Issue.11
, pp. 1213-1222
-
-
Myers, J.A.1
Rassen, J.A.2
Gagne, J.J.3
-
22
-
-
0023092594
-
A new method of classifying prognostic comorbidity in longitudinal studies: Development and validation
-
Charlson ME, Pompei P, Ales KL, et al. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987; 40: 373-83.
-
(1987)
J Chronic Dis
, vol.40
, pp. 373-383
-
-
Charlson, M.E.1
Pompei, P.2
Ales, K.L.3
-
23
-
-
0027445675
-
Adapting a clinical comorbidity index for use with ICD-9-CM administrative data: Differing perspectives
-
discussion 81-90
-
Romano PS, Roos LL, Jollis JG. Adapting a clinical comorbidity index for use with ICD-9-CM administrative data: differing perspectives. J Clin Epidemiol. 1993; 46: 1075-79, discussion 81-90.
-
(1993)
J Clin Epidemiol
, vol.46
, pp. 1075-1079
-
-
Romano, P.S.1
Roos, L.L.2
Jollis, J.G.3
-
24
-
-
79956217851
-
A combined comorbidity score predicted mortality in elderly patients better than existing scores
-
Gagne JJ, Glynn RJ, Avorn J, et al. A combined comorbidity score predicted mortality in elderly patients better than existing scores. J Clin Epidemiol. 2011; 64(7): 749-59.
-
(2011)
J Clin Epidemiol
, vol.64
, Issue.7
, pp. 749-759
-
-
Gagne, J.J.1
Glynn, R.J.2
Avorn, J.3
-
25
-
-
0035500992
-
Performance of comorbidity scores to control for confounding in epidemiologic studies using claims data
-
Schneeweiss S, Seeger JD, Maclure M, et al. Performance of comorbidity scores to control for confounding in epidemiologic studies using claims data. Am J Epidemiol. 2001; 154(9): 854-64.
-
(2001)
Am J Epidemiol
, vol.154
, Issue.9
, pp. 854-864
-
-
Schneeweiss, S.1
Seeger, J.D.2
Maclure, M.3
-
26
-
-
67651042983
-
Highdimensional propensity score adjustment in studies of treatment effects using health care claims data
-
Schneeweiss S, Rassen JA, Glynn RJ, et al. Highdimensional propensity score adjustment in studies of treatment effects using health care claims data. Epidemiology. 2009; 20(4): 512-22.
-
(2009)
Epidemiology
, vol.20
, Issue.4
, pp. 512-522
-
-
Schneeweiss, S.1
Rassen, J.A.2
Glynn, R.J.3
-
27
-
-
0029270196
-
Revisiting the behavioral model and access to medical care: Does it matter?
-
Anderson RM. Revisiting the behavioral model and access to medical care: Does it matter? J Health Social Behav. 1995; 36: 1-10.
-
(1995)
J Health Social Behav
, vol.36
, pp. 1-10
-
-
Anderson, R.M.1
-
28
-
-
11844249366
-
A Medicare database review found that physician preferences increasingly outweighed patient characteristics as determinants of first-time prescriptions for COX-2 inhibitors
-
Schneeweiss S, Glynn RJ, Avorn J, Solomon DH. A Medicare database review found that physician preferences increasingly outweighed patient characteristics as determinants of first-time prescriptions for COX-2 inhibitors. J Clin Epidemiol. 2005; 58: 98-102.
-
(2005)
J Clin Epidemiol
, vol.58
, pp. 98-102
-
-
Schneeweiss, S.1
Glynn, R.J.2
Avorn, J.3
Solomon, D.H.4
-
29
-
-
26644473165
-
Effect of increased cost-sharing on oral hypoglycemic use in five managed care organizations: How much is too much?
-
Roblin DW, Platt R, Goodman MJ, et al. Effect of increased cost-sharing on oral hypoglycemic use in five managed care organizations: how much is too much? Med Care. 2005; 43: 951-9.
-
(2005)
Med Care
, vol.43
, pp. 951-959
-
-
Roblin, D.W.1
Platt, R.2
Goodman, M.J.3
-
31
-
-
0018957326
-
The effect of misclassification in the presence of covariates
-
Greenland S. The effect of misclassification in the presence of covariates. Am J Epidemiol. 1980; 112: 564-9.
-
(1980)
Am J Epidemiol
, vol.112
, pp. 564-569
-
-
Greenland, S.1
-
32
-
-
0021807618
-
Confounding and misclassification
-
Greenland S, Robins JM. Confounding and misclassification. Am J Epidemiol. 1985; 122: 495-506.
-
(1985)
Am J Epidemiol
, vol.122
, pp. 495-506
-
-
Greenland, S.1
Robins, J.M.2
-
33
-
-
0013916535
-
Spurious effects from an extraneous variable
-
Bross ID. Spurious effects from an extraneous variable. J Chronic Dis. 1966; 19(6): 637-47.
-
(1966)
J Chronic Dis
, vol.19
, Issue.6
, pp. 637-647
-
-
Bross, I.D.1
-
35
-
-
37349057488
-
Adjustment for multiple cardiovascular risk factors using a summary risk score
-
Arbogast PG, Kaltenbach L, Ding H, Ray WA. Adjustment for multiple cardiovascular risk factors using a summary risk score. Epidemiology. 2008; 19(1): 30-7.
-
(2008)
Epidemiology
, vol.19
, Issue.1
, pp. 30-37
-
-
Arbogast, P.G.1
Kaltenbach, L.2
Ding, H.3
Ray, W.A.4
-
36
-
-
79958845225
-
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): 1404-13.
-
(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
-
37
-
-
84856034091
-
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. Pharmacol Drug Saf. 2012; 21(S1): 41-9.
-
(2012)
Pharmacol Drug Saf
, vol.21
, Issue.S1
, pp. 41-49
-
-
Rassen, J.A.1
Schneeweiss, S.2
-
38
-
-
33645226210
-
A review of the application of propensity score methods yielded increasing use, advantages in specific settings, but not substantially different estimates compared with conventional multivariable methods
-
Stürmer T, Joshi M, Glynn RJ, et al. A review of the application of propensity score methods yielded increasing use, advantages in specific settings, but not substantially different estimates compared with conventional multivariable methods. J Clin Epidemiol. 2006; 59(5): 437-47.
-
(2006)
J Clin Epidemiol
, vol.59
, Issue.5
, pp. 437-447
-
-
Stürmer, T.1
Joshi, M.2
Glynn, R.J.3
-
39
-
-
77956625112
-
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: 858-68.
-
(2010)
Pharmacoepidemiol Drug Saf
, vol.19
, pp. 858-868
-
-
Schneeweiss, S.1
-
40
-
-
84945581878
-
Constructing a control group using multivariate matched sampling methods that incorporate the propensity score
-
Rosenbaum PR, Rubin DB. Constructing a control group using multivariate matched sampling methods that incorporate the propensity score. The American Statistician 1985; 39: 33-8.
-
(1985)
The American Statistician
, vol.39
, pp. 33-38
-
-
Rosenbaum, P.R.1
Rubin, D.B.2
-
41
-
-
77957301897
-
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: 843-54.
-
(2010)
Am J Epidemiol
, vol.172
, pp. 843-854
-
-
Sturmer, T.1
Rothman, K.J.2
Avorn, J.3
Glynn, R.J.4
-
43
-
-
70449365700
-
Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples
-
Austin PC
-
Austin PC. Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples. Statist. Med. 2009; 28: 3083-3107.
-
(2009)
Statist Med
, vol.28
, pp. 3083-3107
-
-
-
44
-
-
84876294116
-
Matching by Propensity Score in Cohort Studies with Three Treatment Groups
-
Rassen JA, Shelat AA, Myers JA, Glynn RJ, Solomon DH, Schneeweiss S. Matching by Propensity Score in Cohort Studies with Three Treatment Groups. Epidemiology 2013; 24(3): 401-9.
-
(2013)
Epidemiology
, vol.24
, Issue.3
, pp. 401-409
-
-
Rassen, J.A.1
Shelat, A.A.2
Myers, J.A.3
Glynn, R.J.4
Solomon, D.H.5
Schneeweiss, S.6
-
45
-
-
79958704133
-
An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies
-
Austin PC. An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies. Multivariate Behavioral Research 2011; 46: 399-424.
-
(2011)
Multivariate Behavioral Research
, vol.46
, pp. 399-424
-
-
Austin, P.C.1
-
46
-
-
33745588280
-
Interval estimation for treatment effects using propensity score matching
-
Hill J, Reiter JP. Interval estimation for treatment effects using propensity score matching. Statistics in Medicine 2006; 25: 2230-56.
-
(2006)
Statistics In Medicine
, vol.25
, pp. 2230-2256
-
-
Hill, J.1
Reiter, J.P.2
-
47
-
-
60849116685
-
Some Methods of Propensity-Score Matching had Superior Performance to Others: Results of an Empirical Investigation and Monte Carlo simulations
-
Austin PC. Some Methods of Propensity-Score Matching had Superior Performance to Others: Results of an Empirical Investigation and Monte Carlo simulations. Biometrical Journal 2009; 51: 171-84.
-
(2009)
Biometrical Journal
, vol.51
, pp. 171-184
-
-
Austin, P.C.1
-
48
-
-
0003262670
-
Reducing bias in a propensity score matchedpair sample using greedy matching techniques
-
SAS Institute Inc, 2001, Accessed May 8, 2010
-
Parsons L. Reducing bias in a propensity score matchedpair sample using greedy matching techniques. In: Proceedings of the 26th Annual SAS User Group International Conference. SAS Institute Inc, 2001. http://www2.sas.com/proceedings/sugi26/p214-26.pdf. Accessed May 8, 2010.
-
Proceedings of the 26th Annual SAS User Group International Conference
-
-
Parsons, L.1
-
50
-
-
0034100672
-
Substantial Gains in Bias Reduction from Matching with a Variable Number of Controls
-
Ming K, Rosenbaum PR. Substantial Gains in Bias Reduction from Matching with a Variable Number of Controls. Biometric 2000; 56S: 118-24.
-
(2000)
Biometric
, vol.56 S
, pp. 118-124
-
-
Ming, K.1
Rosenbaum, P.R.2
-
51
-
-
77958523826
-
Statistical Criteria for Selecting the Optimal Number of Untreated Subjects Matched to Each Treated Subject When Using Many-to-One Matching on the Propensity Score
-
Austin PC. Statistical Criteria for Selecting the Optimal Number of Untreated Subjects Matched to Each Treated Subject When Using Many-to-One Matching on the Propensity Score. Am J Epidemiol 2010; 172: 1092-7.
-
(2010)
Am J Epidemiol
, vol.172
, pp. 1092-1097
-
-
Austin, P.C.1
-
52
-
-
0003138938
-
Comparison of multivariate matching methods: Structures, distances, and algorithms
-
Gu XS, Rosenbaum PR. Comparison of multivariate matching methods: Structures, distances, and algorithms. Journal of Computational and Graphical Statistics 1993; 2: 405-20.
-
(1993)
Journal of Computational and Graphical Statistics
, vol.2
, pp. 405-420
-
-
Gu, X.S.1
Rosenbaum, P.R.2
-
53
-
-
4944238507
-
Full matching in an observational study of coaching for the SAT
-
Hansen BB. Full matching in an observational study of coaching for the SAT. Journal of the American Statistical Association 2004; 99: 609-18.
-
(2004)
Journal of the American Statistical Association
, vol.99
, pp. 609-618
-
-
Hansen, B.B.1
-
54
-
-
0000180788
-
A characterization of optimal designs for observational studies
-
Series B
-
Rosenbaum PR. A characterization of optimal designs for observational studies. Journal of the Royal Statistical Society 1991; Series B 53: 597-610.
-
(1991)
Journal of the Royal Statistical Society
, vol.53
, pp. 597-610
-
-
Rosenbaum, P.R.1
-
55
-
-
59649108931
-
Assessing balance in measured baseline covariates when using many-to-one matching on the propensity-score
-
Austin PC. Assessing balance in measured baseline covariates when using many-to-one matching on the propensity-score. Pharmacoepidemiol Drug Saf. 2008; 17: 1218-25.
-
(2008)
Pharmacoepidemiol Drug Saf
, vol.17
, pp. 1218-1225
-
-
Austin, P.C.1
-
56
-
-
0000724291
-
The role of the propensity score in estimating dose-response functions
-
Imbens G. The role of the propensity score in estimating dose-response functions. Biometrika. 2000; 87: 706-10.
-
(2000)
Biometrika
, vol.87
, pp. 706-710
-
-
Imbens, G.1
-
57
-
-
0014297593
-
The effectiveness of adjustment by subclassification in removing bias in observational studies
-
Cochran WG. The effectiveness of adjustment by subclassification in removing bias in observational studies. Biometrics 1968; 24: 295-313.
-
(1968)
Biometrics
, vol.24
, pp. 295-313
-
-
Cochran, W.G.1
-
58
-
-
84949193513
-
Reducing bias in observational studies using subclassification on the propensity score
-
Rosenbaum PR, Rubin DB. Reducing bias in observational studies using subclassification on the propensity score. Journal of the American Statistical Association 1984; 79: 516-24.
-
(1984)
Journal of the American Statistical Association
, vol.79
, pp. 516-524
-
-
Rosenbaum, P.R.1
Rubin, D.B.2
-
59
-
-
1542334708
-
Propensity score modeling strategies for the causal analysis of observational data
-
Huppler Hullsiek K, Louis TA. Propensity score modeling strategies for the causal analysis of observational data. Biostatistics 2002; 3: 179-93.
-
(2002)
Biostatistics
, vol.3
, pp. 179-193
-
-
Huppler Hullsiek, K.1
Louis, T.A.2
-
60
-
-
31344433620
-
Results of multivariable logistic regression, propensity matching, propensity adjustment, and propensity-based weighting under conditions of nonuniform effect
-
Kurth T, Walker AM, Glynn RJ, et al. Results of multivariable logistic regression, propensity matching, propensity adjustment, and propensity-based weighting under conditions of nonuniform effect. Am J Epidemiol. 2006; 163(3): 262-70.
-
(2006)
Am J Epidemiol
, vol.163
, Issue.3
, pp. 262-270
-
-
Kurth, T.1
Walker, A.M.2
Glynn, R.J.3
-
61
-
-
63149083464
-
Different methods of balancing covariates leading to different effect estimates in the presence of effect modification
-
Lunt M, Solomon D, Rothman K, et al. Different methods of balancing covariates leading to different effect estimates in the presence of effect modification. Am J Epidemiol. 2009; 169(7): 909-17.
-
(2009)
Am J Epidemiol
, vol.169
, Issue.7
, pp. 909-917
-
-
Lunt, M.1
Solomon, D.2
Rothman, K.3
-
62
-
-
84876105940
-
Statistics ready for a revolution: Next generation of statisticians must build tools for massive data sets
-
van der Laan MJ, Rose S. Statistics ready for a revolution: next generation of statisticians must build tools for massive data sets. 2010 Amstat News.
-
(2010)
Amstat News
-
-
van der Laan, M.J.1
Rose, S.2
-
64
-
-
0028885032
-
Introduction to neural networks
-
Cross SS, Harrison RF, Kennedy RL. Introduction to neural networks. Lancet 1995; 346(8982): 1075-9.
-
(1995)
Lancet
, vol.346
, Issue.8982
, pp. 1075-1079
-
-
Cross, S.S.1
Harrison, R.F.2
Kennedy, R.L.3
-
65
-
-
0028788276
-
Application of artificial neural networks to clinical medicine
-
Baxt WG. Application of artificial neural networks to clinical medicine. Lancet 1995; 346(8983): 1135-8.
-
(1995)
Lancet
, vol.346
, Issue.8983
, pp. 1135-1138
-
-
Baxt, W.G.1
-
66
-
-
0001287271
-
Regression Shrinkage and Selection via the Lasso
-
Series B
-
Tibshirani R. Regression Shrinkage and Selection via the Lasso. Journal of the Royal Statistical Society 1996; Series B 58(1): 267-88.
-
(1996)
Journal of the Royal Statistical Society
, vol.58
, Issue.1
, pp. 267-288
-
-
Tibshirani, R.1
-
67
-
-
74749097452
-
Improving propensity score weighting using machine learning
-
Lee BK, Lessler J, Stuart EA. Improving propensity score weighting using machine learning. Statistics in Medicine 2010; 29: 337-46.
-
(2010)
Statistics In Medicine
, vol.29
, pp. 337-346
-
-
Lee, B.K.1
Lessler, J.2
Stuart, E.A.3
-
71
-
-
84884548406
-
-
StataCorp, Stata Statistical Software: Release 12. College Station, TX: StataCorp LP
-
StataCorp. 2011. Stata Statistical Software: Release 12. College Station, TX: StataCorp LP.
-
(2011)
-
-
-
72
-
-
84884580474
-
-
SAS Institute Inc, SAS 9.3. Cary, NC: SAS Institute, Inc
-
SAS Institute Inc. 2011. SAS 9.3. Cary, NC: SAS Institute, Inc.
-
(2011)
-
-
-
73
-
-
84884581410
-
-
R Development Core Team, R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL
-
R Development Core Team (2011). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL http://www.R-project.org.
-
(2011)
-
-
-
74
-
-
0001093804
-
Evaluating the Econometric Evaluations of Training Programs with Experimental Data
-
LaLonde R. Evaluating the Econometric Evaluations of Training Programs with Experimental Data. Am Econ Rev 1986; 76: 604-20.
-
(1986)
Am Econ Rev
, vol.76
, pp. 604-620
-
-
Lalonde, R.1
-
75
-
-
0442309558
-
Causal effects in non-experimental studies: Reevaluating the evaluation of training programs
-
Dehejia RH, Wahba S. Causal effects in non-experimental studies: Reevaluating the evaluation of training programs. J Am Statist Assoc 1999; 94: 1053-62.
-
(1999)
J Am Statist Assoc
, vol.94
, pp. 1053-1062
-
-
Dehejia, R.H.1
Wahba, S.2
-
76
-
-
77957806232
-
Matching methods for causal inference: A review and a look forward
-
Stuart EA. Matching methods for causal inference: a review and a look forward. Statist Sci 2010; 25(1): 1-21.
-
(2010)
Statist Sci
, vol.25
, Issue.1
, pp. 1-21
-
-
Stuart, E.A.1
-
79
-
-
84884573644
-
-
Accessed May 28, 2013, at
-
Kleinman K, Horton NJ. Accessed May 28, 2013, at http://www.math.smith.edu/sasr.
-
-
-
Kleinman, K.1
Horton, N.J.2
-
80
-
-
85129712964
-
Estimation of average treatment effects based on propensity scores
-
Becker S, Ichino A. Estimation of average treatment effects based on propensity scores. The Stata Journal 2002; 2: 358-77.
-
(2002)
The Stata Journal
, vol.2
, pp. 358-377
-
-
Becker, S.1
Ichino, A.2
-
81
-
-
63049138714
-
PSAgraphics: An R package to support propensity score analysis
-
Helmreich JE, Pruzek RM. PSAgraphics: An R package to support propensity score analysis. J Stat Softw 2009; 29(6): 1-23.
-
(2009)
J Stat Softw
, vol.29
, Issue.6
, pp. 1-23
-
-
Helmreich, J.E.1
Pruzek, R.M.2
-
83
-
-
10844272276
-
Propensity score estimation with boosted regression for evaluating causal effects in observational studies
-
McCaffrey DF, Ridgeway G, Morral AR. Propensity score estimation with boosted regression for evaluating causal effects in observational studies. Psychol Methods 2004; 9(4): 403-25.
-
(2004)
Psychol Methods
, vol.9
, Issue.4
, pp. 403-425
-
-
McCaffrey, D.F.1
Ridgeway, G.2
Morral, A.R.3
-
84
-
-
84555170650
-
Apples and oranges? Interpretations of risk adjustment and instrumental variable estimates of intended treatment effects using observational data
-
Fang G, Brooks JM, Chrischilles EA. Apples and oranges? Interpretations of risk adjustment and instrumental variable estimates of intended treatment effects using observational data. Am J Epidemiol 2012; 175(1): 60-5.
-
(2012)
Am J Epidemiol
, vol.175
, Issue.1
, pp. 60-65
-
-
Fang, G.1
Brooks, J.M.2
Chrischilles, E.A.3
-
85
-
-
38849182246
-
Some practical guidance for the implementation of propensity score matching
-
Caliendo M, Kopeinig S. Some practical guidance for the implementation of propensity score matching. J Econ Surv 2005; 22: 31-72.
-
(2005)
J Econ Surv
, vol.22
, pp. 31-72
-
-
Caliendo, M.1
Kopeinig, S.2
-
86
-
-
84884543779
-
-
Performing a 1:N Case-Control Match on Propensity Score. Proceedings of the Twenty-Sixth Annual SAS Users Group International Conference, Montreal, Canada
-
Parsons LS. Performing a 1:N Case-Control Match on Propensity Score. Proceedings of the Twenty-Sixth Annual SAS Users Group International Conference, Montreal, Canada. 2004.
-
(2004)
-
-
Parsons, L.S.1
-
87
-
-
84884549119
-
-
Coca-Perraillon, M. Local and global optimal propensity score matching. SAS Global Forum, Statistics and Data Analysis. Working Paper 185-2007
-
Coca-Perraillon, M. Local and global optimal propensity score matching. SAS Global Forum, Statistics and Data Analysis. Working Paper 185-2007.
-
-
-
-
88
-
-
84884577009
-
-
A Method/Macro Based on Propensity Score and Mahalanobis Distance to Reduce Bias in Treatment Comparison in Observational Study. SAS Technical Report 2006: 1-11. paper PR05
-
Feng W, Jun Y, Xu R. A Method/Macro Based on Propensity Score and Mahalanobis Distance to Reduce Bias in Treatment Comparison in Observational Study. SAS Technical Report 2006: 1-11. paper PR05.
-
-
-
Feng, W.1
Jun, Y.2
Xu, R.3
-
89
-
-
84884540853
-
-
SAS Macro. Accessed May 28
-
Kosanke J, Bergstralh E. SAS Macro. Accessed May 28, 2013, at http://mayoresearch.mayo.edu/mayo/research/biostat/upload/vmatch.sas.
-
(2013)
-
-
Kosanke, J.1
Bergstralh, E.2
-
90
-
-
4043152946
-
-
Boston College Department of Economics
-
Leuven E, Sianesi B. PSMATCH2: Stata module to perform full Mahalanobis and propensity score matching, common support graphing, and covariate imbalance testing, Statistical Software Components S432001, Boston College Department of Economics. 2003.
-
(2003)
PSMATCH2: Stata Module to Perform Full Mahalanobis and Propensity Score Matching, Common Support Graphing, and Covariate Imbalance Testing, Statistical Software Components S432001
-
-
Leuven, E.1
Sianesi, B.2
-
91
-
-
79958747321
-
MatchIt: Nonparametric preprocessing for parametric causal inference
-
Ho DE, Imai K, King G et al. MatchIt: Nonparametric preprocessing for parametric causal inference. J Stat Softw 2011; 42(8): 1-28.
-
(2011)
J Stat Softw
, vol.42
, Issue.8
, pp. 1-28
-
-
Ho, D.E.1
Imai, K.2
King, G.3
-
92
-
-
79961226937
-
Multivariate and propensity score matching software with automated balance optimization: The Matching package for R
-
Sekhon JS. Multivariate and propensity score matching software with automated balance optimization: the Matching package for R. J Stat Softw 2011; 42(7): 1-52
-
(2011)
J Stat Softw
, vol.42
, Issue.7
, pp. 1-52
-
-
Sekhon, J.S.1
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