-
2
-
-
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 R., Avorn J., Rothman K., 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.3
Avorn, J.4
Rothman, K.5
Schneeweiss, S.6
-
3
-
-
78651395471
-
Association of candesartan vs losartan with all-cause mortality in patients with heart failure
-
Eklind-Cervenka M., Benson L., Dahlström U., Edner M., Rosenqvist M., Lund L. Association of candesartan vs losartan with all-cause mortality in patients with heart failure. JAMA 2011, 305(2):175-182.
-
(2011)
JAMA
, vol.305
, Issue.2
, pp. 175-182
-
-
Eklind-Cervenka, M.1
Benson, L.2
Dahlström, U.3
Edner, M.4
Rosenqvist, M.5
Lund, L.6
-
4
-
-
79251501962
-
Temporal onset, risk factors, and outcomes associated with stroke after coronary artery bypass grafting
-
Tarakji K., Sabik, Bhudia S., Batizy L., Blackstone E. Temporal onset, risk factors, and outcomes associated with stroke after coronary artery bypass grafting. JAMA 2011, 305(4):381-390.
-
(2011)
JAMA
, vol.305
, Issue.4
, pp. 381-390
-
-
Tarakji, K.1
Sabik2
Bhudia, S.3
Batizy, L.4
Blackstone, E.5
-
5
-
-
10844259913
-
Principles for modeling propensity scores in medical research: a systematic literature review
-
Weitzen S., Lapane K., Toledano A., Hume A., 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.2
Toledano, A.3
Hume, A.4
Mor, V.5
-
6
-
-
0034069113
-
The use of propensity scores in pharmacoepidemiologic research
-
Perkins S., Tu W., Underhill M., Zhou X., Murray M. The use of propensity scores in pharmacoepidemiologic research. Pharmacoepidemiol Drug Saf 2000, 9(2):93-101.
-
(2000)
Pharmacoepidemiol Drug Saf
, vol.9
, Issue.2
, pp. 93-101
-
-
Perkins, S.1
Tu, W.2
Underhill, M.3
Zhou, X.4
Murray, M.5
-
7
-
-
77951622706
-
The central role of the propensity score in observational studies for causal effects
-
Rosenbaum P.R., Rubin D.B. 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
-
8
-
-
84949193513
-
Reducing bias in observational studies using subclassification on the propensity score
-
Rosenbaum P.R., Rubin D.B. Reducing bias in observational studies using subclassification on the propensity score. J Am Stat Assoc 1984, 79(387):516-524.
-
(1984)
J Am Stat Assoc
, vol.79
, Issue.387
, pp. 516-524
-
-
Rosenbaum, P.R.1
Rubin, D.B.2
-
9
-
-
0022973522
-
Identifiability, exchangeability, and epidemiological confounding
-
Greenland S., Robins J. Identifiability, exchangeability, and epidemiological confounding. Int J Epidemiol 1986, 15(3):413-419.
-
(1986)
Int J Epidemiol
, vol.15
, Issue.3
, pp. 413-419
-
-
Greenland, S.1
Robins, J.2
-
10
-
-
70349130001
-
Identifiability, exchangeability and confounding revisited
-
Greenland S., Robins J. Identifiability, exchangeability and confounding revisited. Epidemiol Perspect Innov 2009, 6(4).
-
(2009)
Epidemiol Perspect Innov
, vol.6
, Issue.4
-
-
Greenland, S.1
Robins, J.2
-
11
-
-
70349086977
-
Update: Greenland and Robins (1986). Identifiability, exchangeability and epidemiological confounding
-
Maldonado G. Update: Greenland and Robins (1986). Identifiability, exchangeability and epidemiological confounding. Epidemiol Perspect Innov 2009, 6(3).
-
(2009)
Epidemiol Perspect Innov
, vol.6
, Issue.3
-
-
Maldonado, G.1
-
12
-
-
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(4):1231-1236.
-
(1993)
Biometrics
, vol.49
, Issue.4
, pp. 1231-1236
-
-
Drake, C.1
-
13
-
-
0029959044
-
Matching using estimated propensity scores: relating theory to practice
-
Rubin D.B., Thomas N. Matching using estimated propensity scores: relating theory to practice. Biometrics 1996, 52(1):249-264.
-
(1996)
Biometrics
, vol.52
, Issue.1
, pp. 249-264
-
-
Rubin, D.B.1
Thomas, N.2
-
14
-
-
46349084991
-
Evaluating uses of data mining techniques in propensity score estimation: a simulation study
-
Setoguchi S., Schneeweiss S., Brookhart M., Glynn R., Cook E. Evaluating uses of data mining techniques in propensity score estimation: a simulation study. Pharmacoepidemiol Drug Saf 2008, 17(6):546-555.
-
(2008)
Pharmacoepidemiol Drug Saf
, vol.17
, Issue.6
, pp. 546-555
-
-
Setoguchi, S.1
Schneeweiss, S.2
Brookhart, M.3
Glynn, R.4
Cook, E.5
-
15
-
-
28444464482
-
Propensity scores: an introduction and experimental test
-
Luellen J., Shadish W., Clark M. Propensity scores: an introduction and experimental test. Eval Rev 2005, 29(6):530-558.
-
(2005)
Eval Rev
, vol.29
, Issue.6
, pp. 530-558
-
-
Luellen, J.1
Shadish, W.2
Clark, M.3
-
16
-
-
10844272276
-
Propensity score estimation with boosted regression for evaluating causal effects in observational studies
-
McCaffrey D., Ridgeway G., Morral A. Propensity score estimation with boosted regression for evaluating causal effects in observational studies. Psychol Methods 2004, 9(4):403-425.
-
(2004)
Psychol Methods
, vol.9
, Issue.4
, pp. 403-425
-
-
McCaffrey, D.1
Ridgeway, G.2
Morral, A.3
-
17
-
-
74749097452
-
Improving propensity score weighting using machine learning
-
Lee B., Lessler J., Stuart E. Improving propensity score weighting using machine learning. Statist Med 2010, 29(3):337-346.
-
(2010)
Statist Med
, vol.29
, Issue.3
, pp. 337-346
-
-
Lee, B.1
Lessler, J.2
Stuart, E.3
-
18
-
-
77953607621
-
Propensity score estimation: neural networks, support vector machines, decision trees (CART), and meta-classifiers as alternatives to logistic regression
-
Westreich D., Lessler J., Jonsson Funk M. 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
Jonsson Funk, M.3
-
19
-
-
0000458803
-
Characterizing the effect of matching using linear propensity score methods with normal distributions
-
Rubin D.B., Thomas N. Characterizing the effect of matching using linear propensity score methods with normal distributions. Biometrika 1992, 79(4):797-809.
-
(1992)
Biometrika
, vol.79
, Issue.4
, pp. 797-809
-
-
Rubin, D.B.1
Thomas, N.2
-
20
-
-
0000849981
-
Affinely invariant matching methods with ellipsoidal distributions
-
Rubin D.B., Thomas N. Affinely invariant matching methods with ellipsoidal distributions. Ann Stat 1992, 20(2):1079-1093.
-
(1992)
Ann Stat
, vol.20
, Issue.2
, pp. 1079-1093
-
-
Rubin, D.B.1
Thomas, N.2
-
21
-
-
1542742319
-
Combining propensity score matching with additional adjustments for prognostic covariates
-
Rubin D.B., Thomas N. Combining propensity score matching with additional adjustments for prognostic covariates. J Am Stat Assoc 2000, 95(450):573-585.
-
(2000)
J Am Stat Assoc
, vol.95
, Issue.450
, pp. 573-585
-
-
Rubin, D.B.1
Thomas, N.2
-
22
-
-
33846253571
-
The design versus the analysis of observational studies for causal effects: parallels with the design of randomized trials
-
Rubin D.B. The design versus the analysis of observational studies for causal effects: parallels with the design of randomized trials. Stat Med 2007, 26:20-36.
-
(2007)
Stat Med
, vol.26
, pp. 20-36
-
-
Rubin, D.B.1
-
23
-
-
10744220820
-
Sequenced treatment alternatives to relieve depression (STAR*D): rationale and design
-
Rush A., Fava M., Wisniewski S., Lavori P., Trivedi M., Sackheim H., et al. Sequenced treatment alternatives to relieve depression (STAR*D): rationale and design. Control Clin Trials 2004, 25(1):119-142.
-
(2004)
Control Clin Trials
, vol.25
, Issue.1
, pp. 119-142
-
-
Rush, A.1
Fava, M.2
Wisniewski, S.3
Lavori, P.4
Trivedi, M.5
Sackheim, H.6
-
24
-
-
34249313021
-
Acceptability of second-step treatments to depressed outpatients: a STAR*D report
-
Wisniewski S.R., Fava M., Trivedi M.H., Thase M.E., Warden D., Niederehe G., et al. Acceptability of second-step treatments to depressed outpatients: a STAR*D report. Am J Psychiatry 2007, 164(5):753-760.
-
(2007)
Am J Psychiatry
, vol.164
, Issue.5
, pp. 753-760
-
-
Wisniewski, S.R.1
Fava, M.2
Trivedi, M.H.3
Thase, M.E.4
Warden, D.5
Niederehe, G.6
-
25
-
-
0022033155
-
The bias due to incomplete matching
-
Rosenbaum P.R., Rubin D.B. The bias due to incomplete matching. Biometrics 1985, 41(1):103-116.
-
(1985)
Biometrics
, vol.41
, Issue.1
, pp. 103-116
-
-
Rosenbaum, P.R.1
Rubin, D.B.2
-
26
-
-
0035761763
-
Using propensity scores to help design observational studies: application to the tobacco litigation
-
Rubin D.B. Using propensity scores to help design observational studies: application to the tobacco litigation. Health Serv Outcomes Res Methodol 2001, 2(3):169-188.
-
(2001)
Health Serv Outcomes Res Methodol
, vol.2
, Issue.3
, pp. 169-188
-
-
Rubin, D.B.1
-
28
-
-
84950455641
-
Regression with missing X's: a review
-
Little R. Regression with missing X's: a review. J Am Stat Assoc 1992, 87(420):1227-1237.
-
(1992)
J Am Stat Assoc
, vol.87
, Issue.420
, pp. 1227-1237
-
-
Little, R.1
-
29
-
-
0004093524
-
-
Sage, Thousand Oaks (CA)
-
Allison P. Missing data 2002, Sage, Thousand Oaks (CA).
-
(2002)
Missing data
-
-
Allison, P.1
-
30
-
-
60549085055
-
Missing data analysis: making it work in the real world
-
6(1-6)28
-
Graham J. Missing data analysis: making it work in the real world. Annu Rev Psychol 2009, 60. 6(1-6)28.
-
(2009)
Annu Rev Psychol
, vol.60
-
-
Graham, J.1
-
31
-
-
33645236260
-
Variable selection for propensity score models
-
Brookhart M.A., Schneeweiss S., Rothman K.J., Glynn R.J., Avorn J., Sturmer 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
Sturmer, T.6
-
32
-
-
84875338653
-
-
A guide to the gbm package. The Comprehensive R Archive Network Web Site, [accessed 6.2.13]
-
Ridgeway G. A guide to the gbm package. The Comprehensive R Archive Network Web Site, ; 2012 [accessed 6.2.13]. http://cran.r-project.org/web/packages/gbm/index.html.
-
(2012)
-
-
Ridgeway, G.1
-
33
-
-
5344244656
-
-
R Development Core Team, R Foundation for Statistical Computing, Vienna
-
R: a language and environment for statistical computing 2004, R Development Core Team, R Foundation for Statistical Computing, Vienna.
-
(2004)
R: a language and environment for statistical computing
-
-
-
34
-
-
84875345969
-
-
Reducing bias in a propensity score matched-pair sample using greedy matching techniques. Twenty-Sixth Annual SAS Users Group International Conference. Long Beach (CA).
-
Parsons L. Reducing bias in a propensity score matched-pair sample using greedy matching techniques. Twenty-Sixth Annual SAS Users Group International Conference. Long Beach (CA), 2001.
-
(2001)
-
-
Parsons, L.1
-
35
-
-
33750470800
-
Insights into different results from different causal contrasts in the presence of effect-measure modification
-
Stürmer T., Rothman K., Glynn R. Insights into different results from different causal contrasts in the presence of effect-measure modification. Pharmacoepidemiol Drug Saf 2006, 15(10):698-709.
-
(2006)
Pharmacoepidemiol Drug Saf
, vol.15
, Issue.10
, pp. 698-709
-
-
Stürmer, T.1
Rothman, K.2
Glynn, R.3
-
36
-
-
84945581878
-
Constructing a control group using multivariate matched sampling methods that incorporate the propensity score
-
Rosenbaum P.R., Rubin D.B. Constructing a control group using multivariate matched sampling methods that incorporate the propensity score. Am Stat 1985, 39(1):33-38.
-
(1985)
Am Stat
, vol.39
, Issue.1
, pp. 33-38
-
-
Rosenbaum, P.R.1
Rubin, D.B.2
-
37
-
-
1542472967
-
Marginal structural models as a tool for standardization
-
Sato T., Matsuyama Y. Marginal structural models as a tool for standardization. Epidemiology 2003, 14(6):680-686.
-
(2003)
Epidemiology
, vol.14
, Issue.6
, pp. 680-686
-
-
Sato, T.1
Matsuyama, Y.2
-
38
-
-
79951981015
-
The role of the c-statistic in variable selection for propensity score models
-
Westreich D., Cole S., Jonsson-Funk M., Brookhart M., Stürmer T. The role of the c-statistic in variable selection for propensity score models. Pharmacoepidemiol Drug Safety 2011, 20(3):317-320.
-
(2011)
Pharmacoepidemiol Drug Safety
, vol.20
, Issue.3
, pp. 317-320
-
-
Westreich, D.1
Cole, S.2
Jonsson-Funk, M.3
Brookhart, M.4
Stürmer, T.5
-
39
-
-
0035470889
-
Greedy function approximation: a gradient boosting machine
-
Friedman J. Greedy function approximation: a gradient boosting machine. Ann Stat 2001, 29(5):1189-1232.
-
(2001)
Ann Stat
, vol.29
, Issue.5
, pp. 1189-1232
-
-
Friedman, J.1
-
40
-
-
63149083464
-
Different methods of balancing covariates leading to different effect estimates in the presence of effect modification
-
Lunt M., Solomon D., Rothman K., Glynn R., Hyrich K., Symmons D., et al. Different methods of balancing covariates leading to different effect estimates in the presence of effect modification. Am J Epidemiol 2009, 169(7):909-917.
-
(2009)
Am J Epidemiol
, vol.169
, Issue.7
, pp. 909-917
-
-
Lunt, M.1
Solomon, D.2
Rothman, K.3
Glynn, R.4
Hyrich, K.5
Symmons, D.6
-
41
-
-
2242479444
-
Estimating and using propensity scores with partially missing data
-
D'Agostino R.B., Rubin D.B. Estimating and using propensity scores with partially missing data. J Am Stat Assoc 2000, 95(451):749-759.
-
(2000)
J Am Stat Assoc
, vol.95
, Issue.451
, pp. 749-759
-
-
D'Agostino, R.B.1
Rubin, D.B.2
|