-
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. J Am Stat Assoc. 1984 ; 79: 516-524.
-
(1984)
J Am Stat Assoc
, vol.79
, pp. 516-524
-
-
Rosenbaum, P.R.1
Rubin, D.B.2
-
4
-
-
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. Stat Med. 2008 ; 27: 2037-2049.
-
(2008)
Stat Med
, vol.27
, pp. 2037-2049
-
-
Austin, P.C.1
-
5
-
-
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. J Thorac Cardiovasc Surg. 2007 ; 134: 1128-1135.
-
(2007)
J Thorac Cardiovasc Surg
, vol.134
, pp. 1128-1135
-
-
Austin, P.C.1
-
6
-
-
60849116685
-
Some methods of propensity-score matching had superior performance to others: Results of an empirical investigation and Monte Carlo simulations
-
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.
-
(2009)
Biometrical Journal
, vol.51
, pp. 171-184
-
-
Austin, P.C.1
-
7
-
-
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: 841-853.
-
(2004)
Pharmacoepidemiol Drug Saf
, vol.13
, pp. 841-853
-
-
Weitzen, S.1
Lapane, K.L.2
Toledano, A.Y.3
Hume, A.L.4
Mor, V.5
-
8
-
-
18844452973
-
Propensity score methods give similar results to traditional regression modeling in observational studies: A systematic review
-
Shah BR, Laupacis A., Hux JE, Austin PC Propensity score methods give similar results to traditional regression modeling in observational studies: a systematic review. J Clin Epidemiol. 2005 ; 58: 550-559.
-
(2005)
J Clin Epidemiol
, vol.58
, pp. 550-559
-
-
Shah, B.R.1
Laupacis, A.2
Hux, J.E.3
Austin, P.C.4
-
9
-
-
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: 437-447.
-
(2006)
J Clin Epidemiol
, 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
-
10
-
-
8744315994
-
Model selection, confounder control, and marginal structural models: Review and new applications
-
Joffe MM, Ten Have TR, Feldman HI, Kimmel SE Model selection, confounder control, and marginal structural models: review and new applications. The American Statistician. 2004 ; 58: 272-279.
-
(2004)
The American Statistician
, vol.58
, pp. 272-279
-
-
Joffe, M.M.1
Ten Have, T.R.2
Feldman, H.I.3
Kimmel, S.E.4
-
11
-
-
4444230264
-
Stratification and weighting via the propensity score in estimation of causal treatment effects: A comparative study
-
Lunceford JK, Davidian M. Stratification and weighting via the propensity score in estimation of causal treatment effects: a comparative study. Stat Med. 2004 ; 23: 2937-2960.
-
(2004)
Stat Med
, vol.23
, pp. 2937-2960
-
-
Lunceford, J.K.1
Davidian, M.2
-
12
-
-
0344420330
-
Predicting mortality among patients hospitalized for heart failure: Derivation and validation of a clinical model
-
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. JAMA. 2003 ; 290: 2581-2587.
-
(2003)
JAMA
, vol.290
, 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
-
14
-
-
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
-
15
-
-
59649105576
-
Goodness-of-fit diagnostics for the propensity score model when estimating treatment effects using covariate adjustment with the propensity score
-
Austin PC Goodness-of-fit diagnostics for the propensity score model when estimating treatment effects using covariate adjustment with the propensity score. Pharmacoepidemiol Drug Saf. 2008 ; 17: 1202-1217.
-
(2008)
Pharmacoepidemiol Drug Saf
, vol.17
, pp. 1202-1217
-
-
Austin, P.C.1
-
16
-
-
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: 734-753.
-
(2007)
Stat Med
, vol.26
, pp. 734-753
-
-
Austin, P.C.1
Grootendorst, P.2
Anderson, G.M.3
-
17
-
-
33745466638
-
A comparison of propensity score methods: A case-study estimating the effectiveness of post-AMI statin use
-
Austin 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
-
-
Austin, P.C.1
Mamdani, M.M.2
-
18
-
-
33846813595
-
Conditioning on the propensity score can result in biased estimation of common measures of treatment effect: A Monte Carlo study
-
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. Stat Med. 2007 ; 26: 754-768.
-
(2007)
Stat Med
, vol.26
, pp. 754-768
-
-
Austin, P.C.1
Grootendorst, P.2
Normand, S.L.T.3
Anderson, G.M.4
-
19
-
-
34249863765
-
The performance of different propensity score methods for estimating marginal odds ratios
-
Austin PC The performance of different propensity score methods for estimating marginal odds ratios. Stat Med. 2007 ; 26: 3078-3094.
-
(2007)
Stat Med
, vol.26
, pp. 3078-3094
-
-
Austin, P.C.1
-
20
-
-
43049162150
-
The performance of different propensity score methods for estimating relative risks
-
Austin PC The performance of different propensity score methods for estimating relative risks. J Clin Epidemiol. 2008 ; 61: 537-545.
-
(2008)
J Clin Epidemiol
, vol.61
, pp. 537-545
-
-
Austin, P.C.1
-
21
-
-
0035761763
-
Using propensity scores to help design observational studies: Application to the tobacco litigation
-
Rubin DB Using propensity scores to help design observational studies: application to the tobacco litigation. Health Serv Outcomes Res Method. 2001 ; 2: 169-188.
-
(2001)
Health Serv Outcomes Res Method
, vol.2
, pp. 169-188
-
-
Rubin, D.B.1
-
22
-
-
10844272375
-
On principles for modeling propensity scores in medical research
-
Rubin DB On principles for modeling propensity scores in medical research. Pharmacoepidemiol Drug Saf. 2004 ; 13: 855-857.
-
(2004)
Pharmacoepidemiol Drug Saf
, vol.13
, pp. 855-857
-
-
Rubin, D.B.1
-
23
-
-
19144368778
-
The use of the propensity score for estimating treatment effects: Administrative versus clinical data
-
Austin PC, Mamdani MM, Stukel TA, Anderson GM, Tu JV The use of the propensity score for estimating treatment effects: administrative versus clinical data. Stat Med. 2005 ; 24: 1563-1578.
-
(2005)
Stat Med
, vol.24
, pp. 1563-1578
-
-
Austin, P.C.1
Mamdani, M.M.2
Stukel, T.A.3
Anderson, G.M.4
Tu, J.V.5
-
24
-
-
70449365700
-
Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples
-
In press
-
Austin PC Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples. Stat Med. In press.
-
Stat Med.
-
-
Austin, P.C.1
-
25
-
-
0000057576
-
Controlling bias in observational studies: A review
-
Cochran WG, Rubin DB Controlling bias in observational studies: a review. Sankhya Ser A. 1973 ; 35: 417-446.
-
(1973)
Sankhya ser A
, vol.35
, pp. 417-446
-
-
Cochran, W.G.1
Rubin, D.B.2
-
26
-
-
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
|