-
1
-
-
77951622706
-
The central role of the propensity score in observational studies for causal effects
-
R osenbaum PR, Rubin DB. The central role of the propensity score in observational studies for causal effects. Biometrika. 1983;70:41-55.
-
(1983)
Biometrika.
, vol.70
, pp. 41-55
-
-
Osenbaum P R, R.1
Rubin, D.B.2
-
2
-
-
0030474271
-
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;49:1373-1379.
-
(1996)
J Clin Epidemiol.
, vol.49
, pp. 1373-1379
-
-
Peduzzi, P.1
Concato, J.2
Kemper, E.3
Holford, T.R.4
Feinstein, A.R.5
-
3
-
-
79958704133
-
An introduction to propensity score methods for reducing the effects of confounding in observational studies
-
A ustin PC. An introduction to propensity score methods for reducing the effects of confounding in observational studies. Multivariate Behav Res. 2011;46:399-424.
-
(2011)
Multivariate Behav Res.
, vol.46
, pp. 399-424
-
-
Austin, C.P.1
-
4
-
-
84858644775
-
Propensity score methods to adjust for confounding in assessing treatment effects: Bias and precision
-
Wang Z. Propensity score methods to adjust for confounding in assessing treatment effects: bias and precision. Int J Epidemiol. 2009;7:1-8.
-
(2009)
Int J Epidemiol.
, vol.7
, pp. 1-8
-
-
Wang, Z.1
-
5
-
-
33745466638
-
A comparison of propensity score methods: A case-study estimating the effectiveness of post-AMI statin use
-
A ustin PC, Mamdani MM. A comparison of propensity score methods: a case-study estimating the effectiveness of post-AMI statin use. Stat Med. 2006;25:2084-2106.
-
(2006)
Stat Med.
, vol.25
, pp. 2084-2106
-
-
Ustin P C, A.1
Mamdani, M.M.2
-
6
-
-
84949193513
-
Reducing bias in observational studies using subclassification on the propensity score
-
R osenbaum PR, Rubin DB. Reducing bias in observational studies using subclassification on the propensity score. J Am Stat Assoc. 1984;79:516-524.
-
(1984)
J Am Stat Assoc.
, vol.79
, pp. 516-524
-
-
Osenbaum P R, R.1
Rubin, D.B.2
-
7
-
-
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
-
8
-
-
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;17:2265-2281.
-
(1998)
Stat Med.
, vol.17
, pp. 2265-2281
-
-
D'Agostino, R.B.1
-
10
-
-
84961289660
-
Statins and congenital malformations: Cohort study
-
Bateman BT, Hernandez-Diaz S, Fischer MA, et al. Statins and congenital malformations: cohort study. BMJ. 2015;350:h1035.
-
(2015)
BMJ
, vol.350
, pp. h1035
-
-
Bateman, B.T.1
Hernandez-Diaz, S.2
Fischer, M.A.3
-
11
-
-
84879478869
-
Harnessing the medicaid analytic extract (max) to evaluate medications in pregnancy: Design considerations
-
Palmsten K, Huybrechts KF, Mogun H, et al. Harnessing the Medicaid Analytic eXtract (MAX) to evaluate medications in pregnancy: design considerations. PLoS One. 2013;8:e67405.
-
(2013)
PLoS One.
, vol.8
, pp. e67405
-
-
Palmsten, K.1
Huybrechts, K.F.2
Mogun, H.3
-
12
-
-
84872132714
-
Algorithms to estimate the beginning of pregnancy in administrative databases
-
Margulis AV, Setoguchi S, Mittleman MA, Glynn RJ, Dormuth CR, Hernández-Díaz S. Algorithms to estimate the beginning of pregnancy in administrative databases. Pharmacoepidemiol Drug Saf. 2013;22:16-24.
-
(2013)
Pharmacoepidemiol Drug Saf.
, vol.22
, pp. 16-24
-
-
Margulis, A.V.1
Setoguchi, S.2
Mittleman, M.A.3
Glynn, R.J.4
Dormuth, C.R.5
Hernández-Díaz, S.6
-
15
-
-
0037541565
-
Estimating the relative risk in cohort studies and clinical trials of common outcomes
-
McNutt LA, Wu C, Xue X, Hafner JP. Estimating the relative risk in cohort studies and clinical trials of common outcomes. Am J Epidemiol. 2003;157:940-943.
-
(2003)
Am J Epidemiol.
, vol.157
, pp. 940-943
-
-
McNutt, L.A.1
Wu, C.2
Xue, X.3
Hafner, J.P.4
-
16
-
-
79958747321
-
MatchIt: Nonparametric preprocessing for parametric causal inference
-
Ho D, Imai K, King G, Stuart EA. MatchIt: nonparametric preprocessing for parametric causal inference. J Stat Softw. 2011;42:28.
-
(2011)
J Stat Softw.
, vol.42
, pp. 28
-
-
Ho, D.1
Imai, K.2
King, G.3
Stuart, E.A.4
-
17
-
-
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. Biometrics. 2000;56:118-124.
-
(2000)
Biometrics.
, vol.56
, pp. 118-124
-
-
Ming, K.1
Rosenbaum, P.R.2
-
18
-
-
84860597391
-
One-to-many propensity score matching in cohort studies
-
R assen JA, Shelat AA, Myers J, Glynn RJ, Rothman KJ, Schneeweiss S. One-to-many propensity score matching in cohort studies. Pharmacoepidemiol Drug Saf. 2012;21(Suppl 2):69-80.
-
(2012)
Pharmacoepidemiol Drug Saf.
, vol.21
, pp. 69-80
-
-
Assen J A, R.1
Shelat, A.A.2
Myers, J.3
Glynn, R.J.4
Rothman, K.J.5
Schneeweiss, S.6
-
19
-
-
84960928983
-
Estimating the effect of treatment on binary outcomes using full matching on the propensity score
-
Sep. pii: 0962280215601134. [Epub ahead of print] PubMed PMID: 26329750
-
A ustin PC, Stuart EA. Estimating the effect of treatment on binary outcomes using full matching on the propensity score. Stat Methods Med Res. 2015. Sep. pii: 0962280215601134. [Epub ahead of print] PubMed PMID: 26329750.
-
(2015)
Stat Methods Med Res.
-
-
Ustin P C, A.1
Stuart, E.A.2
-
21
-
-
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;163:262-270.
-
(2006)
Am J Epidemiol.
, vol.163
, pp. 262-270
-
-
Kurth, T.1
Walker, A.M.2
Glynn, R.J.3
-
22
-
-
33645210305
-
Indications for propensity scores and review of their use in pharmacoepidemiology
-
G lynn RJ, Schneeweiss S, Stürmer T. Indications for propensity scores and review of their use in pharmacoepidemiology. Basic Clin Pharmacol Toxicol. 2006;98:253-259.
-
(2006)
Basic Clin Pharmacol Toxicol.
, vol.98
, pp. 253-259
-
-
Lynn R J, G.1
Schneeweiss, S.2
Stürmer, T.3
-
23
-
-
0035063893
-
Low P-values or narrow confidence intervals: Which are more durable
-
Poole C. Low P-values or narrow confidence intervals: which are more durable? Epidemiology. 2001;12:291-294.
-
(2001)
Epidemiology
, vol.12
, pp. 291-294
-
-
Poole, C.1
-
25
-
-
70449641720
-
Using the standardized difference to compare the prevalence of a binary variable between two groups in observational research
-
A ustin PC. Using the standardized difference to compare the prevalence of a binary variable between two groups in observational research. Commun Stat Simulat Comput. 2009;38:1228-1234.
-
(2009)
Commun Stat Simulat Comput.
, vol.38
, pp. 1228-1234
-
-
Austin, C.P.1
-
26
-
-
65549155762
-
Modeling certainty with clustered data: A comparison of methods
-
A rceneaux K, Nickerson DW. Modeling certainty with clustered data: a comparison of methods. Polit Anal. 2009;17:177-190.
-
(2009)
Polit Anal.
, vol.17
, pp. 177-190
-
-
Arceneaux, K.1
Nickerson, D.W.2
-
27
-
-
84996609306
-
Confounding control using propensity scores when the exposure is infrequent: Making the case for a fine stratification approach
-
Desai RJ RK, Bateman B, Hernandez-Diaz S, Huybrechts KF. Confounding control using propensity scores when the exposure is infrequent: making the case for a fine stratification approach. Pharmacoepidemiol Drug Safety. 2015;24:1-587.
-
(2015)
Pharmacoepidemiol Drug Safety.
, vol.24
, pp. 1-587
-
-
Desai, R.J.R.K.1
Bateman, B.2
Hernandez-Diaz, S.3
Huybrechts, K.F.4
|