The proportional odds model for multivariate interval-censored failure time data

Statistics in Medicine

Volumn 26, Issue 28, 2007, Pages 5147-5161

  Chen, Man Hua ^a   Tong, Xingwei ^b   Sun, Jianguo ^a  

^a UNIVERSITY OF MISSOURI   (United States)

^b BEIJING NORMAL UNIVERSITY   (China)

Author keywords

Interval censoring; Marginal inference approach; Multivariate failure time data; The proportional odds model

Indexed keywords

ACQUIRED IMMUNE DEFICIENCY SYNDROME; ARTICLE; BIOMETRY; BIOSTATISTICS; BLOOD ANALYSIS; CD4+ T LYMPHOCYTE; CLINICAL RESEARCH; CONTROLLED STUDY; COVARIANCE; CYTOMEGALOVIRUS; EXPERIMENTAL DESIGN; HUMAN; INFECTION RISK; MAJOR CLINICAL STUDY; MULTIVARIATE ANALYSIS; PROPORTIONAL HAZARDS MODEL; SIMULATION; SYSTEMATIC ERROR; URINALYSIS; VIRUS SHEDDING;

CLINICAL TRIALS AS TOPIC; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; FOLLOW-UP STUDIES; HIV INFECTIONS; HUMANS; LIKELIHOOD FUNCTIONS; MULTIVARIATE ANALYSIS; PROPORTIONAL HAZARDS MODELS; SURVIVAL ANALYSIS; TIME FACTORS; TREATMENT FAILURE;

EID: 36348945834     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.2907     Document Type: Article

References (27)

1. Bennett S. Log-logistic regression models for survival data. Applied Statistics 1983; 32:165-171.
2. Yang YS, Prentice RL. Semiparametric inference in the proportional odds regression model. Journal of the American Statistical Association 1999; 94:125-136.
3. Huang J, Rossini JA. Sieve estimation for the proportional odds model with interval-censoring. Journal of the American Statistical Association 1997; 92:960-967.
4. Rabinowitz D, Betensky RA, Tsiatis AA. Using conditional logistic regression to fit proportional odds models to interval censored data. Biometrics 2000; 56:511-518.
5. Chen HY. Weighted semiparametric likelihood method for fitting a proportional odds regression model to data from the case-cohort design. Journal of the American Statistical Association 2001; 96:1446-1457.
6. Murphy SA, Rossini AJ, Waart AW, Van Der. Maximum likelihood estimation in the proportional odds model. Journal of the American Statistical Association 1997; 92:968-976.
7. Sun J. Interval censoring. Encyclopedia of Biostatistics 2005; 2090-2095.
8. Lin DY. Cox regression analysis of multivariate failure time data: the marginal approach. Statistics in Medicine 1994; 13:2233-2247.
9. Hougaard P. Analysis of Multivariate Survival Data. Springer: New York, 2000.
10. Finkelstein DM. A proportional hazard model for interval-censored failure time data. Biometrics 1986; 42:845-854.
11. Sun J. The Statistical Analysis of Interval-censoring Failure Time Data. Springer: New York, 2006.
12. Kalbfleisch JD, Prentice RL. The Statistical Analysis of Failure Time Data. Wiley: New York, 2002.
13. Goggins WB, Finkelstein DM. A proportional hazards model for multivariate interval-censored failure time data. Biometrics 2000; 56:940-943.
14. Kim MY, Xue X. The analysis of multivariate interval-censored survival data. Statistics in Medicine 2002; 21:3715-3726.
15. Cai J. Hypothesis testing of hazard ratio parameters in marginal models for multi-variate failure time data. Lifetime Data Analysis 1999; 5:39-53.
16. Cai J, Prentice RL. Estimating equations for hazard ratio parameters based on correlated failure time data. Biometrika 1995; 82:151-164.
17. Wei LJ, Lin DY, Weissfeld L. Regression analysis of multivariate in complete failure time data by modeling marginal distribution. Journal of the American Statistical Association 1989; 84:1065-1073.
18. Betensky RA, Finkelstein DM. An extension of Kendall's coefficient of concordance to bivariate interval censored data. Statistics in Medicine 1999; 18:3101-3109.
19. Gentleman R, Vandal AC. Nonparametric estimation of the bivariate CDF for arbitrarily censored data. Canadian Journal of Statistics 2002; 30(4):557-572.
20. Ding AA, Wang W. Testing independence for bivariate current status data. Journal of the American Statistical Association 2004; 99:145-155.
21. Sun L, Wang L, Sun J. Estimation of the association for bivariate interval-censored failure time data. Scandinavian Journal of Statistics 2006; 33:637-649.
22. Guo SW, Lin DY. Regression analysis of multivariate grouped survival data. Biometrics 1994; 50:632-639.
23. White H. Maximum likelihood estimation of misspecified models. Econometrica 1982; 50:1-25.
24. Gumbel EJ. Bivariate exponential distribution. Journal of the American Statistical Association 1960; 55:698-707.
25. Finkelstein DM, Goggins WB, Schoenfeld DA. Analysis of failure time data with dependent interval censoring. Biometrics 2002; 58:298-304.
26. Peto R. Experimental survival curves for interval-censored data. Applied Statistics 1973; 22:86-91.
27. Turnbull BW. The empirical distribution function from arbitrarily grouped, censored and truncated data. Journal of the Royal Statistical Society, Series B 1976; 38:290-295.