-
1
-
-
53349127165
-
Systematic differences in treatment effect estimates between propensity score methods and logistic regression
-
E.P. Martens, W.R. Pestman, A. de Boer, S.V. Belitser, and O.H. Klungel Systematic differences in treatment effect estimates between propensity score methods and logistic regression Int J Epidemiol 37 2008 1142 1147
-
(2008)
Int J Epidemiol
, vol.37
, pp. 1142-1147
-
-
Martens, E.P.1
Pestman, W.R.2
De Boer, A.3
Belitser, S.V.4
Klungel, O.H.5
-
2
-
-
77957806232
-
Matching methods for causal inference: A review and a look forward
-
E.A. Stuart Matching methods for causal inference: a review and a look forward Stat Sci 25 1 2010 1 21
-
(2010)
Stat Sci
, vol.25
, Issue.1
, pp. 1-21
-
-
Stuart, E.A.1
-
3
-
-
74749097452
-
Improving propensity score weighting using machine learning
-
B.K. Lee, J. Lessler, and E.A. Stuart Improving propensity score weighting using machine learning Stat Med 29 2009 337 346
-
(2009)
Stat Med
, vol.29
, pp. 337-346
-
-
Lee, B.K.1
Lessler, J.2
Stuart, E.A.3
-
4
-
-
58849157241
-
Use of disease risk scores in pharmacoepidemiologic studies
-
P.G. Arbogast, and W.A. Ray Use of disease risk scores in pharmacoepidemiologic studies Stat Methods Med Res 18 1 2009 67 80
-
(2009)
Stat Methods Med Res
, vol.18
, Issue.1
, pp. 67-80
-
-
Arbogast, P.G.1
Ray, W.A.2
-
5
-
-
44849091245
-
The prognostic analogue of the propensity score
-
DOI 10.1093/biomet/asn004
-
B.B. Hansen The prognostic analogue of the propensity score Biometrika 95 2 2008 481 488 (Pubitemid 351797222)
-
(2008)
Biometrika
, vol.95
, Issue.2
, pp. 481-488
-
-
Hansen, B.B.1
-
6
-
-
33846842327
-
A comparison of the ability of different propensity score models to balance measured variables between treated and untreated subjects: A Monte Carlo study
-
DOI 10.1002/sim.2580
-
P.C. Austin, P. Grootendorst, and G.M. Anderson 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 26 2007 734 753 (Pubitemid 46206593)
-
(2007)
Statistics in Medicine
, vol.26
, Issue.4
, pp. 734-753
-
-
Austin, P.C.1
Grootendorst, P.2
Anderson, G.M.3
-
7
-
-
79959558713
-
The implications of propensity score variable selection strategies in pharmacoepidemiology: An empirical illustration
-
A.R. Patrick, S. Schneeweiss, M.A. Brookhart, R.J. Glynn, K.J. Rothman, and J. Avorn The implications of propensity score variable selection strategies in pharmacoepidemiology: an empirical illustration Pharmacoepidemiol Drug Saf 20 6 2011 551 559
-
(2011)
Pharmacoepidemiol Drug Saf
, vol.20
, Issue.6
, pp. 551-559
-
-
Patrick, A.R.1
Schneeweiss, S.2
Brookhart, M.A.3
Glynn, R.J.4
Rothman, K.J.5
Avorn, J.6
-
8
-
-
67651042983
-
High-dimensional propensity score adjustment in studies of treatment effects using health care claims data
-
S. Schneeweiss, J.A. Rassen, R.J. Glynn, J. Avorn, H. Mogun, and M.A. Brookhart High-dimensional propensity score adjustment in studies of treatment effects using health care claims data Epidemiology 20 2009 512 522
-
(2009)
Epidemiology
, vol.20
, pp. 512-522
-
-
Schneeweiss, S.1
Rassen, J.A.2
Glynn, R.J.3
Avorn, J.4
Mogun, H.5
Brookhart, M.A.6
-
9
-
-
84860599298
-
Role of disease risk scores in comparative effectiveness research with emerging therapies
-
R.J. Glynn, J.J. Gagne, and S. Schneeweiss Role of disease risk scores in comparative effectiveness research with emerging therapies Pharmacoepidemiol Drug Saf 21 Suppl 2 2012 138 147
-
(2012)
Pharmacoepidemiol Drug Saf
, vol.21
, Issue.SUPPL 2
, pp. 138-147
-
-
Glynn, R.J.1
Gagne, J.J.2
Schneeweiss, S.3
-
10
-
-
1542742319
-
Combining propensity score matching with additional adjustments for prognostic covariates
-
D.B. Rubin, and N. Thomas Combining propensity score matching with additional adjustments for prognostic covariates J Am Stat Assoc 95 2000 573 585
-
(2000)
J Am Stat Assoc
, vol.95
, pp. 573-585
-
-
Rubin, D.B.1
Thomas, N.2
-
11
-
-
77951622706
-
The central role of the propensity score in observational studies for causal effects
-
P.R. Rosenbaum, and D.B. Rubin The central role of the propensity score in observational studies for causal effects Biometrika 70 1983 41 55
-
(1983)
Biometrika
, vol.70
, pp. 41-55
-
-
Rosenbaum, P.R.1
Rubin, D.B.2
-
12
-
-
80555131090
-
Balance measures for propensity score methods: A clinical example on beta-agonist use and the risk of myocardial infarction
-
R.H. Groenwold, F. de Vries, A. de Boer, W.R. Pestman, F.H. Rutten, and A.W. Hoes Balance measures for propensity score methods: a clinical example on beta-agonist use and the risk of myocardial infarction Pharmacoepidemiol Drug Saf 20 11 2011 1130 1137
-
(2011)
Pharmacoepidemiol Drug Saf
, vol.20
, Issue.11
, pp. 1130-1137
-
-
Groenwold, R.H.1
De Vries, F.2
De Boer, A.3
Pestman, W.R.4
Rutten, F.H.5
Hoes, A.W.6
-
13
-
-
79951981015
-
The role of the c-statistic in variable selection for propensity score models
-
D. Westreich, S.R. Cole, M.J. Funk, M.A. Brookhart, and T. Sturmer The role of the c-statistic in variable selection for propensity score models Pharmacoepidemiol Drug Saf 20 2011 317 320
-
(2011)
Pharmacoepidemiol Drug Saf
, vol.20
, pp. 317-320
-
-
Westreich, D.1
Cole, S.R.2
Funk, M.J.3
Brookhart, M.A.4
Sturmer, T.5
-
14
-
-
33645236260
-
Variable selection for propensity score models
-
DOI 10.1093/aje/kwj149
-
M.A. Brookhart, S. Schneeweiss, K.J. Rothman, R.J. Glynn, J. Avorn, and T. Sturmer Variable selection for propensity score models Am J Epidemiol 163 2006 1149 1156 (Pubitemid 43987579)
-
(2006)
American Journal of Epidemiology
, 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
Sturmer, T.6
-
15
-
-
0035761763
-
Using propensity scores to help design observational studies: Application to the tobacco litigation
-
D.B. Rubin Using propensity scores to help design observational studies: application to the tobacco litigation Health Serv Outcomes Res Meth 2 2001 169 188
-
(2001)
Health Serv Outcomes Res Meth
, vol.2
, pp. 169-188
-
-
Rubin, D.B.1
-
16
-
-
40549104115
-
Misunderstandings between experimentalists and observationalists about causal inference
-
K. Imai, G. King, and E.A. Stuart Misunderstandings between experimentalists and observationalists about causal inference J R Stat Soc Ser A 171 2008 481 502
-
(2008)
J R Stat Soc ser A
, vol.171
, pp. 481-502
-
-
Imai, K.1
King, G.2
Stuart, E.A.3
-
17
-
-
70449365700
-
Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples
-
P.C. Austin Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples Stat Med 28 2009 3083 3107
-
(2009)
Stat Med
, vol.28
, pp. 3083-3107
-
-
Austin, P.C.1
-
18
-
-
79958747321
-
MatchIt: Nonparametric preprocessing for parametric causal inference
-
D.E. Ho, K. Imai, G. King, and E.A. Stuart MatchIt: nonparametric preprocessing for parametric causal inference J Stat Softw 42 8 2011 1 28
-
(2011)
J Stat Softw
, vol.42
, Issue.8
, pp. 1-28
-
-
Ho, D.E.1
Imai, K.2
King, G.3
Stuart, E.A.4
-
20
-
-
80555123073
-
Measuring balance and model selection in propensity score methods
-
S.V. Belitser, E.P. Martens, W.R. Pestman, R.H. Groenwold, A. de Boer, and O.H. Klungel Measuring balance and model selection in propensity score methods Pharmacoepidemiol Drug Saf 20 2011 1115 1129
-
(2011)
Pharmacoepidemiol Drug Saf
, vol.20
, pp. 1115-1129
-
-
Belitser, S.V.1
Martens, E.P.2
Pestman, W.R.3
Groenwold, R.H.4
De Boer, A.5
Klungel, O.H.6
-
21
-
-
4544228988
-
Analysis of complex survey samples
-
T. Lumley Analysis of complex survey samples J Stat Softw 9 1 2004 1 19 R Package version 2.2 (Pubitemid 39217809)
-
(2004)
Journal of Statistical Software
, vol.9
, pp. 1-19
-
-
Lumley, T.1
-
22
-
-
33744495314
-
Sensitivity analysis and external adjustment for unmeasured confounders in epidemiologic database studies of therapeutics
-
DOI 10.1002/pds.1200
-
S. Schneeweiss Sensitivity analysis and external adjustment for unobserved confounders in epidemiologic database studies of therapies Pharmacoepidemiol Drug Saf 15 5 2006 291 303 (Pubitemid 43797117)
-
(2006)
Pharmacoepidemiology and Drug Safety
, vol.15
, Issue.5
, pp. 291-303
-
-
Schneeweiss, S.1
-
23
-
-
57749105474
-
Average causal effects from nonrandomized studies: A practical guide and simulated example
-
J.L. Schafer, and J. Kang Average causal effects from nonrandomized studies: a practical guide and simulated example Psychol Meth 13 2008 279 313
-
(2008)
Psychol Meth
, vol.13
, pp. 279-313
-
-
Schafer, J.L.1
Kang, J.2
-
24
-
-
10844272375
-
On principles for modeling propensity scores in medical research
-
DOI 10.1002/pds.968
-
D.B. Rubin On principles for modeling propensity scores in medical research Pharmacoepidemiol Drug Saf 13 2004 855 857 (Pubitemid 40003820)
-
(2004)
Pharmacoepidemiology and Drug Safety
, vol.13
, Issue.12
, pp. 855-857
-
-
Rubin, D.B.1
|