Estimation of Causal Effects via Principal Stratification When Some Outcomes are Truncated by “Death”
暂无分享,去创建一个
[1] Raymond J. Carroll,et al. Estimation and comparison of changes in the presence of informative right censoring by modeling the censoring process , 1988 .
[2] Robert J. LaLonde,et al. The Promise of Public Sector-Sponsored Training Programs , 1995 .
[3] Training programs for displaced workers: what do they accomplish? , 1997 .
[4] D. Rubin. Randomization Analysis of Experimental Data: The Fisher Randomization Test Comment , 1980 .
[5] Joshua D. Angrist,et al. Identification of Causal Effects Using Instrumental Variables , 1993 .
[6] D. Rubin. Estimating causal effects of treatments in randomized and nonrandomized studies. , 1974 .
[7] Donald B. Rubin,et al. Bayesian Inference for Causal Effects: The Role of Randomization , 1978 .
[8] D B Rubin,et al. More powerful randomization-based p-values in double-blind trials with non-compliance. , 1998, Statistics in medicine.
[9] T. Speed,et al. On the Application of Probability Theory to Agricultural Experiments. Essay on Principles. Section 9 , 1990 .
[10] D. Rubin,et al. Principal Stratification in Causal Inference , 2002, Biometrics.
[11] D. Rubin,et al. Assessing the effect of an influenza vaccine in an encouragement design. , 2000, Biostatistics.
[12] P. Holland. Statistics and Causal Inference , 1985 .
[13] Charles E McCulloch,et al. Maximum likelihood estimation in the joint analysis of time‐to‐event and multiple longitudinal variables , 2002, Statistics in medicine.
[14] D. Fairclough,et al. Why are missing quality of life data a problem in clinical trials of cancer therapy? , 1998, Statistics in medicine.
[15] D. Rubin. INFERENCE AND MISSING DATA , 1975 .
[16] D. Basu. Randomization Analysis of Experimental Data: The Fisher Randomization Test , 1980 .
[17] Russell V. Lenth,et al. Statistical Analysis With Missing Data (2nd ed.) (Book) , 2004 .
[18] Xiao-Hua Zhou,et al. Clustered encouragement designs with individual noncompliance: bayesian inference with randomization, and application to advance directive forms. , 2002, Biostatistics.
[19] G. Casella,et al. Discussion of "Casual Inference without Counterfactuals" by A. P. Dawid , 1999 .
[20] D. Rubin. Comment on "Causal inference without counterfactuals," by Dawid AP , 2000 .
[21] F. Harrell,et al. Joint testing of mortality and a non‐fatal outcome in clinical trials , 2001, Statistics in medicine.
[22] James J. Heckman,et al. Identification of Causal Effects Using Instrumental Variables: Comment , 1996 .
[23] Howard Wainer. Visual Revelations: Scaling the Market , 1999 .
[24] K. Kunisaki,et al. Simpson's paradox. , 2005, Critical care medicine.
[25] Donald B. Rubin,et al. Bayesian Inference for Causal Effects , 2005 .
[26] E. H. Simpson,et al. The Interpretation of Interaction in Contingency Tables , 1951 .
[27] D. Rubin,et al. Bayesian inference for causal effects in randomized experiments with noncompliance , 1997 .
[28] Roderick J. A. Little,et al. Statistical Analysis with Missing Data: Little/Statistical Analysis with Missing Data , 2002 .
[29] James M. Robins,et al. Comparing two failure time distributions in the presence of dependent censoring , 1996 .
[30] Nicole A. Lazar,et al. Statistical Analysis With Missing Data , 2003, Technometrics.
[31] P. Decker,et al. International Trade and Worker Displacement: Evaluation of the Trade Adjustment Assistance Program , 1995 .
[32] D. Rubin. [On the Application of Probability Theory to Agricultural Experiments. Essay on Principles. Section 9.] Comment: Neyman (1923) and Causal Inference in Experiments and Observational Studies , 1990 .