-
1
-
-
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: 41-55.
-
(1983)
Biometrika
, vol.70
, pp. 41-55
-
-
Rosenbaum, P.R.1
Rubin, D.B.2
-
2
-
-
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; 79:516-524.
-
(1984)
Journal of the American Statistical Association
, vol.79
, pp. 516-524
-
-
Rosenbaum, P.R.1
Rubin, D.B.2
-
3
-
-
33745466638
-
A comparison of propensity score methods: A case-study estimating the effectiveness of post-AMI statin use
-
DOI 10.1002/sim.2328
-
Austin PC, Mamdani MM. A comparison of propensity score methods: a case-study estimating the effectiveness of post-AMI statin use. Statistics in Medicine 2006; 25:2084-2106. (Pubitemid 43950281)
-
(2006)
Statistics in Medicine
, vol.25
, Issue.12
, pp. 2084-2106
-
-
Austin, P.C.1
Mamdani, M.M.2
-
4
-
-
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; 39:33-38.
-
(1985)
The American Statistician
, vol.39
, pp. 33-38
-
-
Rosenbaum, P.R.1
Rubin, D.B.2
-
5
-
-
44649173785
-
A critical appraisal of propensity score matching in the medical literature from 1996 to 2003
-
Austin PC. A critical appraisal of propensity score matching in the medical literature from 1996 to 2003. Statistics in Medicine 2008; 27:2037-2049.
-
(2008)
Statistics in Medicine
, vol.27
, pp. 2037-2049
-
-
Austin, P.C.1
-
6
-
-
35448972461
-
Propensity-score matching in the cardiovascular surgery literature from 2004 to 2006: A systematic review and suggestions for improvement
-
Austin PC. Propensity-score matching in the cardiovascular surgery literature from 2004 to 2006: a systematic review and suggestions for improvement. Journal of Thoracic and Cardiovascular Surgery 2007; 134:1128-1135.
-
(2007)
Journal of Thoracic and Cardiovascular Surgery
, vol.134
, pp. 1128-1135
-
-
Austin, P.C.1
-
7
-
-
67249139797
-
A report card on propensity-score matching in the cardiology literature from 2004 to 2006: Results of a systematic review
-
Austin PC. A report card on propensity-score matching in the cardiology literature from 2004 to 2006: results of a systematic review. Circulation: Cardiovascular Quality and Outcomes 2008; 1:62-67.
-
(2008)
Circulation: Cardiovascular Quality and Outcomes
, vol.1
, pp. 62-67
-
-
Austin, P.C.1
-
8
-
-
1842429563
-
Nonparametric estimation of average treatment effects under exogeneity: A review
-
DOI 10.1162/003465304323023651
-
Imbens GW. Nonparametric estimation of average treatment effects under exogeneity: a review. The Review of Economics and Statistics 2004; 86:4-29. (Pubitemid 38422764)
-
(2004)
Review of Economics and Statistics
, vol.86
, Issue.1
, pp. 4-29
-
-
Imbens, G.W.1
-
9
-
-
67249097811
-
Type I error rates, coverage of confidence intervals, and variance estimation in propensity-score matched analyses
-
Article 13. DOI: 10.2202/1557-4679.1146
-
Austin PC. Type I error rates, coverage of confidence intervals, and variance estimation in propensity-score matched analyses. The International Journal of Biostatistics 2009; 5(1). Article 13. DOI: 10.2202/1557-4679.1146.
-
(2009)
The International Journal of Biostatistics
, vol.5
, Issue.1
-
-
Austin, P.C.1
-
10
-
-
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. Journal of Clinical Epidemiology 2006; 59:437-447.
-
(2006)
Journal of Clinical Epidemiology
, vol.59
, pp. 437-447
-
-
Stürmer, T.1
Joshi, M.2
Glynn, R.J.3
Avorn, J.4
Rothman, K.J.5
Schneeweiss, S.6
-
11
-
-
0036740882
-
Odds ratio, relative risk, absolute risk reduction, and the number needed to treat - Which of these should we use?
-
Schechtman E. Odds ratio, relative risk, absolute risk reduction, and the number needed to treat - which of these should we use? Value in Health 2002; 5:431-436.
-
(2002)
Value in Health
, vol.5
, pp. 431-436
-
-
Schechtman, E.1
-
12
-
-
0028908929
-
The number needed to treat: A clinically useful measure of treatment effect
-
Cook RJ, Sackett DL. The number needed to treat: a clinically useful measure of treatment effect. British Medical Journal 1995; 310:452-454.
-
(1995)
British Medical Journal
, vol.310
, pp. 452-454
-
-
Cook, R.J.1
Sackett, D.L.2
-
13
-
-
0028903054
-
Basis statistics for clinicians 3: Assessing the effects of treatment: Measures of association
-
Jaeschke R, Guyatt G, Shannon H, Walter S, Cook D, Heddle N. Basis statistics for clinicians 3: assessing the effects of treatment: measures of association. Canadian Medical Association Journal 1995; 152:351-357.
-
(1995)
Canadian Medical Association Journal
, vol.152
, pp. 351-357
-
-
Jaeschke, R.1
Guyatt, G.2
Shannon, H.3
Walter, S.4
Cook, D.5
Heddle, N.6
-
14
-
-
0028018289
-
Clinically useful measures of effect in binary analyses of randomized trials
-
DOI 10.1016/0895-4356(94)90191-0
-
Sinclair JC, Bracken MB. Clinically useful measures of effect in binary analyses of randomized trials. Journal of Clinical Epidemiology 1994; 47:881-889. (Pubitemid 24268892)
-
(1994)
Journal of Clinical Epidemiology
, vol.47
, Issue.8
, pp. 881-889
-
-
Sinclair, J.C.1
Bracken, M.B.2
-
15
-
-
33846813595
-
Conditioning on the propensity score can result in biased estimation of common measures of treatment effect: A Monte Carlo study
-
DOI 10.1002/sim.2618
-
Austin PC, Grootendorst P, Normand SLT, Anderson GM. Conditioning on the propensity score can result in biased estimation of common measures of treatment effect: a Monte Carlo study. Statistics in Medicine 2007; 26:754-768. (Pubitemid 46206594)
-
(2007)
Statistics in Medicine
, vol.26
, Issue.4
, pp. 754-768
-
-
Austin, P.C.1
Grootendorst, P.2
Normand, S.-L.T.3
Anderson, G.M.4
-
16
-
-
34249863765
-
The performance of different propensity score methods for estimating marginal odds ratios
-
DOI 10.1002/sim.2781
-
Austin PC. The performance of different propensity score methods for estimating marginal odds ratios. Statistics in Medicine. 2007; 26:3078-3094. (Pubitemid 47019008)
-
(2007)
Statistics in Medicine
, vol.26
, Issue.16
, pp. 3078-3094
-
-
Austin, P.C.1
-
17
-
-
0023203943
-
Interpretation and choice of effect measures in epidemiologic analyses
-
Greenland S. Interpretation and choice of effect measures in epidemiologic analyses. American Journal of Epidemiology 1987; 125:761-768. (Pubitemid 17066475)
-
(1987)
American Journal of Epidemiology
, vol.125
, Issue.5
, pp. 761-768
-
-
Greenland, S.1
-
18
-
-
77349087330
-
A data-generation process for data with specified risk differences or numbers needed to treat
-
Austin PC. A data-generation process for data with specified risk differences or numbers needed to treat. Communications in Statistics - Simulation and Computation 2010; 39:563-577.
-
(2010)
Communications in Statistics - Simulation and Computation
, vol.39
, pp. 563-577
-
-
Austin, P.C.1
-
19
-
-
77956314484
-
The performance of different propensity score methods for estimating difference in proportions (risk differences or absolute risk reductions) in observational studies
-
DOI: 10.1002/sim.3854
-
Austin PC. The performance of different propensity score methods for estimating difference in proportions (risk differences or absolute risk reductions) in observational studies. Statistics in Medicine 2010; DOI: 10.1002/sim.3854.
-
(2010)
Statistics in Medicine
-
-
Austin, P.C.1
-
20
-
-
47749131861
-
The performance of two data-generation processes for data with specified marginal treatment odds ratios
-
Austin PC, Stafford J. The performance of two data-generation processes for data with specified marginal treatment odds ratios. Communications in Statistics- Simulation and Computation 2008; 37:1039-1051.
-
(2008)
Communications in Statistics- Simulation and Computation
, vol.37
, pp. 1039-1051
-
-
Austin, P.C.1
Stafford, J.2
-
23
-
-
0347917301
-
Effects and non-effects of paired identical observations in comparing proportions with binary matched-pairs data
-
DOI 10.1002/sim.1589
-
Agresti A, Min Y. Effects and non-effects of paired identical observations in comparing proportions with binary matched-pairs data. Statistics in Medicine 2004; 23:65-75. (Pubitemid 38072107)
-
(2004)
Statistics in Medicine
, vol.23
, Issue.1
, pp. 65-75
-
-
Agresti, A.1
Min, Y.2
-
24
-
-
0344420330
-
Predicting Mortality among Patients Hospitalized for Heart Failure: Derivation and Validation of a Clinical Model
-
DOI 10.1001/jama.290.19.2581
-
Lee DS, Austin PC, Rouleau JL, Liu PP, Naimark D, Tu JV. Predicting mortality among patients hospitalized for heart failure: derivation and validation of a clinical model. Journal of the American Medical Association 2003; 290:2581-2587. (Pubitemid 37443288)
-
(2003)
Journal of the American Medical Association
, vol.290
, Issue.19
, pp. 2581-2587
-
-
Lee, D.S.1
Austin, P.C.2
Rouleau, J.L.3
Liu, P.P.4
Naimark, D.5
Tu, J.V.6
-
25
-
-
9644273139
-
-
Institute for Clinical Evaluative Sciences: Toronto
-
Tu JV, Donovan LR, Lee DS, Austin PC, Ko DT, Wang JT, Newman AM. Quality of Cardiac Care in Ontario - Phase 1. Report 1. Institute for Clinical Evaluative Sciences: Toronto, 2004.
-
(2004)
Quality of Cardiac Care in Ontario - Phase 1. Report 1
-
-
Tu, J.V.1
Donovan, L.R.2
Lee, D.S.3
Austin, P.C.4
Ko, D.T.5
Wang, J.T.6
Newman, A.M.7
-
26
-
-
84865349347
-
Standard distance in univariate and multivariate analysis
-
Flury BK, Riedwyl H. Standard distance in univariate and multivariate analysis. The American Statistician 1986; 40:249-251.
-
(1986)
The American Statistician
, vol.40
, pp. 249-251
-
-
Flury, B.K.1
Riedwyl, H.2
-
27
-
-
60849116685
-
Some methods of propensity-score matching had superior performance to others: Results of an empirical investigation and Monte Carlo simulations
-
DOI: 10.1002/bimj.200810488
-
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; 51:171-184. DOI: 10.1002/bimj.200810488.
-
(2009)
Biometrical Journal
, vol.51
, pp. 171-184
-
-
Austin, P.C.1
-
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. Statistics in Medicine 2009; 28:3083-3107.
-
(2009)
Statistics in Medicine
, vol.28
, pp. 3083-3107
-
-
Austin, P.C.1
-
29
-
-
72149119483
-
The relative ability of different propensity-score methods to balance measured covariates between treated and untreated subjects in observational studies
-
Austin PC. The relative ability of different propensity-score methods to balance measured covariates between treated and untreated subjects in observational studies. Medical Decision Making 2009; 29:661-677.
-
(2009)
Medical Decision Making
, vol.29
, pp. 661-677
-
-
Austin, P.C.1
|