Rejoinder

Statistical Science

Volumn 21, Issue 3, 2006, Pages 319-321

  Rubin, Donald B ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

EID: 33846678200     PISSN: 08834237     EISSN: None     Source Type: Journal    
DOI: 10.1214/088342306000000303     Document Type: Article

References (15)

1. ANGRIST, J. D., IMBENS, G. W. and RUBIN, D. B. (1996). Identification of causal effects using instrumental variables (with discussion). J. Amer. Statist. Assoc. 91 444-472.
2. BRILLINGER, D. R., JONES, L. V. and TUKEY, J. W. (1978). Report of the statistical task force for the weather modification advisory board. The Management of Western Resources II: The Role of Statistics in Weather Resources Management. Stock no. 003-018-00091-1, U.S. Govt. Printing Office, Washington.
3. FRANGAKIS, C. E. and RUBIN, D. B. (2002). Principal stratification in causal inference. Biometrics 58 21-29. MR 1891039
4. HIRANO, K., IMBENS, G., RUBIN, D. B. and ZHOU, X.-H. (2000). Assessing the effect of an influenza vaccine in an encouragement design. Biostatistics 169-88.
5. HOLLAND, P. W. (1986). Statistics and causal inference (with discussion). J. Amer. Statist. Assoc. 81 945-970. MR0867618
6. IMBENS, G. and RUBIN, D. B. (1997). Bayesian inference for causal effects in randomized experiments with noncompliance. Ann. Statist. 25 305-327. MR1429927
7. LAURITZEN, S. (2004). Comment on "Direct and indirect causal effects via potential outcomes," by D. B. Rubin. Scand. J. Statist. 31 189-192. MR2066248
8. KORN, E. L., TEETER, D. M. and BAUMRIND, S. (2001). Using explicit clinician preferences in nonrandomized study designs. J. Statist. Plann. Inference 96 67-82.
9. RUBIN, D. B. (1974). Estimating causal effects of treatments in randomized and nonrandomized studies. J. Educational Psychology 66 688-701.
10. RUBIN, D. B. (1975). Bayesian inference for causality: The importance of randomization. In Proc. Social Statistics Section 233-239. Amer. Statist. Assoc., Alexandria, VA.
11. RUBIN, D. B. (1978). Bayesian inference for causal effects: The role of randomization. Ann. Statist. 6 34-58. MR0472152
12. RUBIN, D. B. (1998). More powerful randomization-based p-values in double-blind trials with noncompliance. Statistics in Medicine 17 371-385.
13. RUBIN, D. B. (2000). Comment on "Causal inference without counterfactuals," by A. P. Dawid. J. Amer. Statist. Assoc. 95 435-438.
14. RUBIN, D. B. (2004). Direct and indirect causal effects via potential outcomes (with discussion). Scand. J. Statist. 31 161-170, 189-198. MR2066246
15. SHEINER, L. B. and RUBIN, D. B. (1995). Intention-to-treat analysis and the goals of clinical trials. Clinical Pharmacology and Therapeutics 57 6-15.