-
1
-
-
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, Avorn J, Rothman KJ, Schneeweiss S. 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): 437-447.
-
(2006)
J Clin Epidemiol
, vol.59
, Issue.5
, pp. 437-447
-
-
Stürmer, T.1
Joshi, M.2
Glynn, R.J.3
Avorn, J.4
Rothman, K.J.5
Schneeweiss, S.6
-
2
-
-
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
-
3
-
-
77953607621
-
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
-
4
-
-
74749097452
-
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
-
5
-
-
3543135271
-
Propensity score methods for bias reduction in the comparison of a treatment to a non-randomized control group
-
D'Agostino RB, Jr. Propensity score methods for bias reduction in the comparison of a treatment to a non-randomized control group. Stat Med 1998; 17(19): 2265-2281.
-
(1998)
Stat Med
, vol.17
, Issue.19
, pp. 2265-2281
-
-
D'Agostino Jr, R.B.1
-
6
-
-
0033567210
-
Invited commentary: propensity scores
-
Joffe MM, Rosenbaum PR. Invited commentary: propensity scores. Am J Epidemiol 1999; 150(4): 327-333.
-
(1999)
Am J Epidemiol
, vol.150
, Issue.4
, pp. 327-333
-
-
Joffe, M.M.1
Rosenbaum, P.R.2
-
7
-
-
17744378170
-
Analytic strategies to adjust confounding using exposure propensity scores and disease risk scores: nonsteroidal antiinflammatory drugs and short-term mortality in the elderly
-
Stürmer T, Schneeweiss S, Brookhart MA, Rothman KJ, Avorn J, Glynn RJ. Analytic strategies to adjust confounding using exposure propensity scores and disease risk scores: nonsteroidal antiinflammatory drugs and short-term mortality in the elderly. Am J Epidemiol 2005; 161(9): 891-898.
-
(2005)
Am J Epidemiol
, vol.161
, Issue.9
, pp. 891-898
-
-
Stürmer, T.1
Schneeweiss, S.2
Brookhart, M.A.3
Rothman, K.J.4
Avorn, J.5
Glynn, R.J.6
-
8
-
-
0030862072
-
Estimating causal effects from large data sets using propensity scores
-
8 Pt 2
-
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
, pp. 757-763
-
-
Rubin, D.B.1
-
9
-
-
33745842238
-
Estimating causal effects from epidemiological data
-
Hernán MA, Robins JM. Estimating causal effects from epidemiological data. J Epidemiol Community Health 2006; 60(7): 578-586.
-
(2006)
J Epidemiol Community Health
, vol.60
, Issue.7
, pp. 578-586
-
-
Hernán, M.A.1
Robins, J.M.2
-
10
-
-
33645236260
-
Variable selection for propensity score models
-
Brookhart MA, Schneeweiss S, Rothman KJ, Glynn RJ, Avorn J, Stürmer T. Variable selection for propensity score models. Am J Epidemiol 2006; 163(12): 1149-1156.
-
(2006)
Am J Epidemiol
, vol.163
, Issue.12
, pp. 1149-1156
-
-
Brookhart, M.A.1
Schneeweiss, S.2
Rothman, K.J.3
Glynn, R.J.4
Avorn, J.5
Stürmer, T.6
-
11
-
-
0027717184
-
Effects of misspecification of the propensity score on estimators of treatment effect
-
Drake C. Effects of misspecification of the propensity score on estimators of treatment effect. Biometrics 1993; 49: 1231-1236.
-
(1993)
Biometrics
, vol.49
, pp. 1231-1236
-
-
Drake, C.1
-
12
-
-
77951880684
-
Impact of ABO-incompatible listing on wait-list outcomes among infants listed for heart transplantation in the United States: a propensity analysis
-
Almond CS, Gauvreau K, Thiagarajan RR, et al. Impact of ABO-incompatible listing on wait-list outcomes among infants listed for heart transplantation in the United States: a propensity analysis. Circulation 2010; 121(17): 1926-1933.
-
(2010)
Circulation
, vol.121
, Issue.17
, pp. 1926-1933
-
-
Almond, C.S.1
Gauvreau, K.2
Thiagarajan, R.R.3
-
13
-
-
77952296240
-
Timing of erythropoiesis-stimulating agent initiation and adverse outcomes in nondialysis CKD: a propensity-matched observational study
-
Seliger S, Fox KM, Gandra SR, et al. Timing of erythropoiesis-stimulating agent initiation and adverse outcomes in nondialysis CKD: a propensity-matched observational study. Clin J Am Soc Nephrol 2010; 5(5): 882-888.
-
(2010)
Clin J Am Soc Nephrol
, vol.5
, Issue.5
, pp. 882-888
-
-
Seliger, S.1
Fox, K.M.2
Gandra, S.R.3
-
14
-
-
77949359267
-
The added risk of opioid problem use among treatment-seeking youth with marijuana and/or alcohol problem use
-
Subramaniam GA, Ives ML, Stitzer ML, Dennis ML. The added risk of opioid problem use among treatment-seeking youth with marijuana and/or alcohol problem use. Addiction 2010; 105(4): 686-698.
-
(2010)
Addiction
, vol.105
, Issue.4
, pp. 686-698
-
-
Subramaniam, G.A.1
Ives, M.L.2
Stitzer, M.L.3
Dennis, M.L.4
-
15
-
-
0041626110
-
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
-
16
-
-
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): 253-259.
-
(2006)
Basic Clin Pharmacol Toxicol
, vol.98
, Issue.3
, pp. 253-259
-
-
Glynn, R.J.1
Schneeweiss, S.2
Stürmer, T.3
-
17
-
-
0035063108
-
Data design background knowledge in etiologic inference
-
Robins JM. Data design background knowledge in etiologic inference. Epidemiology 2000; 11(3): 313-320.
-
(2000)
Epidemiology
, vol.11
, Issue.3
, pp. 313-320
-
-
Robins, J.M.1
-
18
-
-
77953632279
-
Confounding control in healthcare database research: challenges and potential approaches
-
Brookhart MA, Stürmer T, Glynn RJ, Rassen J, Schneeweiss S. Confounding control in healthcare database research: challenges and potential approaches. Medical Care 2010; 48 (6 Suppl 1): S114-120.
-
(2010)
Medical Care
, vol.48
, Issue.6 SUPPL. 1
-
-
Brookhart, M.A.1
Stürmer, T.2
Glynn, R.J.3
Rassen, J.4
Schneeweiss, S.5
-
19
-
-
0038334174
-
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
-
20
-
-
77952717253
-
Illustrating bias due to conditioning on a collider
-
Cole SR, Platt RW, Schisterman EF, et al. Illustrating bias due to conditioning on a collider. Int J Epidemiol 2010; 39(2): 417-420.
-
(2010)
Int J Epidemiol
, vol.39
, Issue.2
, pp. 417-420
-
-
Cole, S.R.1
Platt, R.W.2
Schisterman, E.F.3
-
21
-
-
0020083498
-
The meaning and use of the area under a receiver operating characteristic (ROC) curve
-
Hanley JA, McNeil BJ. The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology 1982; 143(1): 29-36.
-
(1982)
Radiology
, vol.143
, Issue.1
, pp. 29-36
-
-
Hanley, J.A.1
McNeil, B.J.2
-
22
-
-
0003732572
-
Regression Modeling Strategies
-
Springer-Verlag: New York City,
-
Harrell FEJ. Regression Modeling Strategies. Springer-Verlag: New York City, 2001.
-
(2001)
-
-
Harrell, F.E.J.1
-
23
-
-
10844259913
-
Principles for modeling propensity scores in medical research: a systematic literature review
-
Weitzen S, Lapane KL, Toledano AY, Hume AL, Mor V. Principles for modeling propensity scores in medical research: a systematic literature review. Pharmacoepidemiol Drug Saf 2004; 13(12): 841-853.
-
(2004)
Pharmacoepidemiol Drug Saf
, vol.13
, Issue.12
, pp. 841-853
-
-
Weitzen, S.1
Lapane, K.L.2
Toledano, A.Y.3
Hume, A.L.4
Mor, V.5
-
24
-
-
77949377342
-
Invited commentary: positivity in practice
-
Westreich D, Cole SR. Invited commentary: positivity in practice. Am J Epidemiol 2010; 171(6): 678-681.
-
(2010)
Am J Epidemiol
, vol.171
, Issue.6
, pp. 678-681
-
-
Westreich, D.1
Cole, S.R.2
-
25
-
-
51749124303
-
Constructing inverse probability weights for marginal structural models
-
Cole SR, Hernán MA. Constructing inverse probability weights for marginal structural models. Am J Epidemiol 2008; 168(6): 656-664.
-
(2008)
Am J Epidemiol
, vol.168
, Issue.6
, pp. 656-664
-
-
Cole, S.R.1
Hernán, M.A.2
-
26
-
-
33846842327
-
A comparison of the ability of different propensity score models to balance measured variables between treated and untreated subjects: a Monte Carlo study
-
Austin PC, Grootendorst P, Anderson GM. A comparison of the ability of different propensity score models to balance measured variables between treated and untreated subjects: a Monte Carlo study. Stat Med 2007; 26(4): 734-753.
-
(2007)
Stat Med
, vol.26
, Issue.4
, pp. 734-753
-
-
Austin, P.C.1
Grootendorst, P.2
Anderson, G.M.3
-
27
-
-
17244379268
-
Weaknesses of goodness-of-fit tests for evaluating propensity score models: the case of the omitted confounder
-
Weitzen S, Lapane KL, Toledano AY, Hume AL, Mor V. Weaknesses of goodness-of-fit tests for evaluating propensity score models: the case of the omitted confounder. Pharmacoepidemiol Drug Saf 2005; 14(4): 227-238.
-
(2005)
Pharmacoepidemiol Drug Saf
, vol.14
, Issue.4
, pp. 227-238
-
-
Weitzen, S.1
Lapane, K.L.2
Toledano, A.Y.3
Hume, A.L.4
Mor, V.5
-
28
-
-
70449365700
-
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
-
29
-
-
33846253571
-
The design versus the analysis of observational studies for causal effects: parallels with the design of randomized trials
-
Rubin DB. The design versus the analysis of observational studies for causal effects: parallels with the design of randomized trials. Stat Med 2007; 26(1): 20-36.
-
(2007)
Stat Med
, vol.26
, Issue.1
, pp. 20-36
-
-
Rubin, D.B.1
-
30
-
-
79951987589
-
-
Unified cross-validation methodology for selection among estimators and a general cross-validated adaptive epsilon-net estimator: finite sample oracle inequalities and examples. U. C. Berkeley Division of Bio- statistics Working Paper Series, paper 130,
-
van der Laan MJ, Dudoit S. Unified cross-validation methodology for selection among estimators and a general cross-validated adaptive epsilon-net estimator: finite sample oracle inequalities and examples. U. C. Berkeley Division of Bio- statistics Working Paper Series, paper 130, 2003.
-
(2003)
-
-
van der Laan, M.J.1
Dudoit, S.2
-
31
-
-
24944533309
-
A semiparametric model selection criterion with applications to the marginal structural model
-
Brookhart MA, van der Laan MJ. A semiparametric model selection criterion with applications to the marginal structural model. Comput Stat Data Anal 2006; 50: 475-498.
-
(2006)
Comput Stat Data Anal
, vol.50
, pp. 475-498
-
-
Brookhart, M.A.1
van der Laan, M.J.2
-
32
-
-
0037080447
-
Causal knowledge as a prerequisite for confounding evaluation: an application to birth defects epidemiology
-
Hernán MA, Hernández-Diaz S, Werler MM, Mitchell AA. Causal knowledge as a prerequisite for confounding evaluation: an application to birth defects epidemiology. Am J Epidemiol 2002; 155(2): 176-184.
-
(2002)
Am J Epidemiol
, vol.155
, Issue.2
, pp. 176-184
-
-
Hernán, M.A.1
Hernández-Diaz, S.2
Werler, M.M.3
Mitchell, A.A.4
|