Eliciting a counterfactual sensitivity parameter

American Statistician

Volumn 61, Issue 1, 2007, Pages 56-63

  Shepherd, Bryan E ^a   Gilbert, Peter B ^b   Mehrotra, Devan V ^c  

^a VANDERBILT UNIVERSITY   (United States)

^b UNIVERSITY OF WASHINGTON   (United States)

^c MERCK RESEARCH LABORATORIES   (United States)

Author keywords

AIDS; Causal inference; Elicitation; Principal stratification

Indexed keywords

EID: 33846890404     PISSN: 00031305     EISSN: None     Source Type: Journal    
DOI: 10.1198/000313007X163213     Document Type: Article

References (30)

1. Chaloner, K. ( 1996), "The Elicitation of Prior Distributions," in Case Studies in Bayesian Biostatistcs. eds D. Berry and D. Stangl, New York: Marcel Dekker, pp. 141-156.
2. Copas, J. B., and Li, H. G. (1997). "Inference for Non-random Samples," Journal of the Royal Statistics Society, Series B. 59, 55-95.
3. Cox, D. R. (1958). Planning of Experiments. New York: Wiley.
4. _ (1998). "Discussion on the papers on 'Elicitation,' " The Statistician, 47, 55-68.
5. Davies, H. T., Crombie, I. K., and Tavakoli, M. (1998). "When can Odds Ratios Mislead?" British Medical Journal, 316, 989-991.
6. Flynn, N. M., Forthal, D. N., Harro, C. D., et al. (2005). "Placebo-Controlled Trial of a Recombinant Glycoprotein 120 Vaccine to Prevent HIV Infection," Journal of Infectious Diseases, 191, 645-665.
7. Frangakis, C. E., and Rubin, D. B. (2002). "Principal Stratification in Causal Inference." Biometrics. 58, 21-29.
8. Gilbert, P. B., Ackers, M. L., Herman, P. W., et al. (2005). "HIV-1 Virologic and Immunologic Progression and Antiretroviral Therapy Initiation Among HI V-I-infected Participants in an Efficacy Trial of Recombinant Glycoprotein 120 Vaccine," Journal of Infectious Diseases. 192, 974-983.
9. Gilbert, P. B., Bosch, R. J., and Hudgens, M. G. (2003). "Sensitivity Analysis for the Assessment of Causal Vaccine Effects on Viral Load in HIV Vaccine Trials," Biometrics. 59, 531-541.
10. Greenland, S. ( 1987), "Interpretation and Choice of Effect Measures in Epidemiologic Analyses." American Journal of Epidemiology, 125, 761-768.
11. _ (1996), "Basic Methods for Sensitivity Analysis of Biases," International Journal of Epidemiology, 25, 1107-1116.
12. _ (2005). "Multiple-Bias Modelling for Analysis of Observational Data," Journal of the Royal Statistical Society. Series A. 168, 267-306.
13. Holland, P. W. (1986), "Statistics and Causal Inference," Journal of the American Statistical Association, 81, 945-960.
14. Kadane, J. B., and Wolfson, L. J. (1998). "Experiences in Elicitation." The Statistician, 47, 3-19.
15. Learner, K. E. (1974). "False Models and Post-Data Model Construction," Journal of the American Statistical Association, 69, 122-131.
16. Little, R. J. A. (1994). "A Class of Pattern-Mixture Models for Normal Missing Data," Biometrika, 81, 471-483.
17. Mehrutra, D. V., Li, X., and Gilbert P. B. (2006). "A Comparison of Eight Methods for the Dual-Endpoint Evaluation of Efficacy in a Proof-of-Concept HIV Vaccine Trial," Biometrics, 62, 893-900.
18. O'Hagan, A. (1998), "Eliciting Expert Beliefs in Substantial Practical Applications," The Statistician, 47, 21-35.
19. Pascal, B. (1660), Pensées, translated by A.J. Krailsheimer, London: Penguin Books, 1995, Number 105.
20. Robins, J. M. (1986), "A New Approach to Causal Inference in Mortality Studies with Sustained Exposure Periods-Application to Control of the Healthy Worker Survivor Effect." Mathematical Modeling, 7, 1393-1512.
21. Rosenbaum, P. R. (1984), "The Consequences of Adjustment for a Concomitant Variable that has been Affected by the Treatment." Journal of the Royal Statistical Society, Series A. 147, 656-666.
22. _ (1987), "Sensitivity Analysis for Certain Permutation Inferences in Matched Observational Studies," Biometrika, 74, 13-26.
23. _ (1988), "Sensitivity Analysis for Matching With Multiple Controls," Biometrika, 75, 577-581.
24. Rosenbaum, P. R., and Rubin, D. B. (1983). "Assessing Sensitivity to an Unobserved Binary Covariate in an Observational Study with Binary Outcome," Journal of the Royal Statistical Society. Series B. 45, 212-218.
25. Rubin, D. B. (1978), "Bayesian Inference for Causal Effects: The Role of Randomization," The Annals of Statistics, 6, 34-58.
26. _ (2000). Comment on "Causal Inference Without Counterfactuals, " by A. P. Dawid, Journal of the American Statistical Association, 95, 435-437.
27. Sackett, D. L., Deeks, J. J., and Altman, D. G. (1996), "Down With Odds Ratios!" Evidence-Based Medicine, 1, 164-166.
28. Scharfstein, D. O., Halloran, M. E., Chu H., and Daniels, M. J. (2006), "On Estimation of Vaccine Efficacy Using Validation Samples with Selection Bias," Biostatistics, 1, 615-629.
29. Scharfstein, D. O., Rotnitzky, A., and Robins, J. M. (1999). "Adjusting for Nonignorable Drop-Out Using Semiparametric Nonresponse Models," Journal of the American Statistical Association. 94, 1096-1146.
30. Shepherd, B. E., Gilbert, P. B., Jemiai, Y., and Rotnitzky, A. (2006), "Sensitivity Analyses Comparing Outcomes Only Existing in a Subset Selected Post-Randomization, Conditional on Covariates. With Application to HIV Vaccine Trials," Biometrics, 62, 332-342.