Notes on estimation of proportion ratio under a non-compliance randomized trial with missing outcomes

Computational Statistics and Data Analysis

Volumn 52, Issue 9, 2008, Pages 4325-4345

  Lui, Kung Jong ^a   Cumberland, William G ^b  

^a SAN DIEGO STATE UNIVERSITY   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ASYMPTOTIC ANALYSIS; CARDIOVASCULAR SYSTEM; COMPUTER SIMULATION; DISEASES; MAXIMUM LIKELIHOOD ESTIMATION; MONTE CARLO METHODS;

DICHOTOMOUS DATA; MISSING AT RANDOM (MAR); POINT ESTIMATORS; PROPORTION RATIO;

DATA REDUCTION;

EID: 42749093684     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.csda.2008.02.011     Document Type: Article

References (37)

1. Agresti A. Categorical Data Analysis (1990), Wiley, New York
2. Anbar D. The relative efficiency of Zelen's prerandomization design for clinical trials. Biometrics 39 (1983) 711-718
3. Angrist J.D., Imbens G.W., and Rubin D.B. Identification of causal effects using instrumental variables. Journal of the American Statistical Association 91 (1996) 444-456
4. Barnard J., Frangakis G.E., Hill J.E., and Rubin D.B. Principal stratification approach to broken randomized experiments: A case study of school choice voucher in New York City. Journal of the American Statistical Association 98 (2003) 299-311
5. Bernhard G., and Compagnone D. Binary data in prerandomized designs. Biometrical Journal 31 (1989) 29-33
6. Brunner E., and Neumann N. On the mathematical basis of Zelen's prerandomized designs. Methods of Information in Medicine 24 (1985) 120-130
7. Casella G., and Berger R.L. Statistical Inference (1990), Duxbury, Belmont, CA
8. Fleiss J.L. Statistical Methods for Rates and Proportions (1981), Wiley, New York
9. Frangakis C.E., and Rubin D.B. Addressing complications of intention-to-treat analysis in the combined presence of all-or-none treatment-noncompliance and subsequent missing outcomes. Biometrika 86 (1999) 365-379
10. Katz D., Baptista J., Azen S.P., and Pike M.C. Obtaining confidence intervals for the risk ratio in cohort studies. Biometrics 34 (1978) 469-474
11. Li F., and Frangakis C.E. Designs in partially controlled studies: Messages from a review. Statistical Methods in Medical Research 14 (2005) 417-431
12. Lui K.-J. Notes on estimation of the general odds ratio and the general risk difference for paired-sample data. Biometrical Journal 44 (2002) 957-968
13. Lui K.-J. Statistical Estimation Epidemiological Risk (2004), Wiley, New York
14. Lui K.-J. In: Chow S.-C. (Ed). Risk Ratio Analysis. 2nd edn., Revised and Expanded. Encyclopedia of Biopharmaceutical Statistics (2006), Marcel Dekker, New York
15. Lui K.-J. A Monte Carlo evaluation of five interval estimators for the relative risk in sparse data. Biometrical Journal 48 (2006) 131-143
16. Lui K.-J. Interval estimation of risk ratio in the simple compliance randomized trial. Contemporary Clinical Trials 28 (2007) 120-129
17. Lui K.-J. Estimation of proportion ratio in non-compliance randomized trials with repeated measurements in binary data. Statistical Methodology 5 (2008) 129-141
18. Lui K.-J., and Lin C.-D. Interval estimation of treatment effects in double consent randomized design. Statistica Sinica 13 (2003) 179-187
19. Mark S.D., and Robins J.M. A method for the analysis of randomized trials with compliance information: An application to the multiple risk factor intervention trial. Controlled Clinical Trials 14 (1993) 79-97
20. Matsui S. Stratified analysis in randomized trials with noncompliance. Biometrics 61 (2005) 816-823
21. Matsuyama Y. Correcting for non-compliance of repeated binary outcomes in randomized clinical trials: Randomized analysis approach. Statistics in Medicine 21 (2002) 675-687
22. Matts J., and McHugh R. Randomization and efficiency in Zelen's single consent design. Biometrics 43 (1987) 885-894
23. Matts J.P., and McHugh R.B. Precision estimation in Zelen's single-consent design. Biometrical Journal 35 (1993) 65-72
24. McDonald C.J., Hui S.L., and Tierney W.M. Effects of computer reminders for influenza vaccination on morbidity during influenza epidemics. M.D. Computing 9 (1992) 304-312
25. McHugh R. Validity and treatment dilution in Zelen's single consent design. Statistics in Medicine 3 (1984) 215-218
26. Multiple Risk Factor Intervention Trial Research Group. Multiple risk factor intervention trial: Risk factor changes and mortality results. Journal of the American Medical Association 248 (1982) 1465-1477
27. SAS Institute Inc. SAS Language, Reference Version 6. 1st edn. (1990), SAS Institute, Cary, NC
28. Sato T. Sample size calculations with compliance information. Statistics in Medicine 19 (2000) 2689-2697
29. Sato T. A method for the analysis of repeated binary outcomes in randomized clinical trials with non-compliance. Statistics in Medicine 20 (2001) 2761-2774
30. Sheps M.C. Shall we count the living or the dead?. New England Journal of Medicine 259 (1958) 1210-1214
31. Sheps M.C. An examination of some methods of comparing several rates or proportions. Biometrics 15 (1959) 87-97
32. Sommer A., and Zeger S.L. On estimating efficacy from clinical trials. Statistics in Medicine 10 (1991) 45-52
33. Yau L.H.Y., and Little R.J. Inference for complier-average causal effect from longitudinal data subject to noncompliance and missing data, with application to a job training assessment for the unemployed. Journal of the American Statistical Association 96 (2001) 1232-1244
34. Zelen M. A new design for randomized clinical trials. The New England Journal of Medicine 300 (1979) 1242-1245
35. Zelen M. Response. Journal of Chronic Disease 39 (1986) 247-249
36. Zelen M. Randomized consent designs for clinical trials: An update. Statistics in Medicine 9 (1990) 645-656
37. Zhou X.-H., and Li S.M. ITT analysis of randomized encouragement design studies with missing data. Statistics in Medicine 25 (2006) 2737-2761