Estimation of proportion ratio in non-compliance randomized trials with repeated measurements in binary data

Statistical Methodology

Volumn 5, Issue 2, 2008, Pages 129-141

  Lui, Kung Jong ^a  

^a SAN DIEGO STATE UNIVERSITY   (United States)

Author keywords

Binary data; Interval estimation; Non compliance randomized trials; Proportion ratio; Repeated measurements

Indexed keywords

EID: 39049121630     PISSN: 15723127     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.stamet.2007.06.003     Document Type: Article

References (25)

1. 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) 444-455
2. Bernhard G., and Compagnone D. Binary data in prerandomized designs. Biometrical Journal 31 (1989) 29-33
3. Brunner E., and Neumann N. On the mathematical basis of Zelen's prerandomized designs. Methods of Information in Medicine 24 (1985) 120-130
4. Casella G., and Berger R.L. Statistical Inference (1990), Duxbury, Belmont, CA
5. Cochran W.G. Sampling Techniques (1977), Wiley, New York
6. Cuzick J., Edwards R., and Segnan E. Adjusting for non-compliance and contamination in randomized clinical trials. Statistics in Medicine 16 (1997) 1017-1029
7. Fleiss J.L. Statistical Methods for Rates and Proportions (1981), Wiley, New York
8. Gillings D., and Koch G. The application of the principle of intention-to-treat to the analysis of clinical trials. Drug Information Journal 25 (1991) 411-424
9. Greenland S., and Robins J.M. Estimation of a common effect parameter from sparse follow-up data. Biometrics 41 (1985) 55-68
10. Laupacis A., Sackett D.L., and Roberts R.S. An assessment of clinically useful measures of the consequences of treatment. New England Journal of Medicine 318 (1988) 1728-1733
11. Lui K.-J. Interval estimation of treatment effects in double consent randomized design. Statistica Sinica 13 (2003) 179-187
12. Lui K.-J. Statistical Estimation of Epidemiological Risk (2004), Wiley, New York
13. Lui K.-J. Interval estimation of the proportion ratio under multiple matching. Statistics in Medicine 24 (2005) 1275-1785
14. Lui K.-J. A note on hypothesis test in binary data under the single-consent randomized design. Drug Information Journal 40 (2006) 219-227
15. Lui K.-J. Sample size calculation for non-compliance randomized trials with repeated measurements in binary data. Computational Statistics and Data Analysis 51 (2007) 3832-3843
16. 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
17. Matsui S. Stratified analysis in randomized trials with noncompliance. Biometrics 61 (2005) 816-823
18. Matsuyama Y. Correcting for non-compliance of repeated binary outcomes in randomized clinical trials: Randomized analysis approach. Statistics in Medicine 21 (2002) 675-687
19. Ohno R., Miyawaki S., Hatake K., Kuriyama K., Saito K., Kanamaru A., Kobayashi T., Kodera Y., Nishikawa K., Matsuda S., Yamada O., Omoto E., Takeyama H., Tsukuda K., Asou N., Tamimoto M., Shiozaki H., Tomonaga M., Masaoka T., Miura Y., Takaku F., Ohashi Y., and Motoyoshi K. Human urinary macrophage colony-stimulating factors reduces the incidence and duration of febrile neutropenia and shortens the period required to finish three courses of intensive consolidation therapy in acute myeloid leukemia: A double-blind controlled study. Journal of Clinical Oncology 15 (1997) 2954-2965
20. SAS Institute Inc. SAS Language, Version. 1st ed. (1990), SAS Institute Inc., Cary, North Carolina
21. Sato T. Sample size calculations with compliance information. Statistics in Medicine 19 (2000) 2689-2697
22. 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
23. Sheps M.C. Shall we count the living or the dead?. New England Journal of Medicine 259 (1958) 1210-1214
24. Sheps M.C. An examination of some methods of comparing several rates or proportions. Biometrics 15 (1959) 87-97
25. Sommer A., and Zeger S.L. On estimating efficacy from clinical trials. Statistics in Medicine 10 (1991) 45-52