Comment: Estimating the Effects Caused by Treatments

[1]  D. Rubin,et al.  The central role of the propensity score in observational studies for causal effects , 1983 .

[2]  D. Rubin,et al.  Assessing Sensitivity to an Unobserved Binary Covariate in an Observational Study with Binary Outcome , 1983 .

[3]  D. Rubin,et al.  ON LORD'S PARADOX , 1982 .

[4]  D. Basu,et al.  Randomization Analysis of Experimental Data: The Fisher Randomization Test Rejoinder , 1980 .

[5]  D. Rubin Randomization Analysis of Experimental Data: The Fisher Randomization Test Comment , 1980 .

[6]  A. Dawid Conditional Independence in Statistical Theory , 1979 .

[7]  M. A. Hamilton CHOOSING THE PARAMETER FOR A 2 × 2 TABLE OR A 2 × 2 × 2 TABLE ANALYSIS , 1979 .

[8]  Michel Mouchart,et al.  Discussion on "Conditional independence in statistitical theory" by A.P. Dawid , 1979 .

[9]  Donald B. Rubin,et al.  Bayesian Inference for Causal Effects: The Role of Randomization , 1978 .

[10]  D. Rubin Assignment to Treatment Group on the Basis of a Covariate , 1976 .

[11]  D. Rubin Estimating causal effects of treatments in randomized and nonrandomized studies. , 1974 .

[12]  W. G. Cochran,et al.  Controlling Bias in Observational Studies: A Review. , 1974 .

[13]  W. G. Cochran The effectiveness of adjustment by subclassification in removing bias in observational studies. , 1968, Biometrics.

[14]  Michail Prodan,et al.  CHAPTER 17 – THE PLANNING OF EXPERIMENTS , 1968 .

[15]  F. Lord A paradox in the interpretation of group comparisons. , 1967, Psychological bulletin.

[16]  W. G. Cochran The Planning of Observational Studies of Human Populations , 1965 .

[17]  Oscar Kempthorne,et al.  The Design and Analysis of Experiments , 1952 .

[18]  R Fisher,et al.  Design of Experiments , 1936 .