The analysis of multivariate interval-censored survival data

被引:38
作者
Kim, MY [1 ]
Xue, XN [1 ]
机构
[1] NYU, Sch Med, Div Biostat, Dept Environm Med, New York, NY 10016 USA
关键词
interval censoring; multivariate survival data; robust inference; recurrent events;
D O I
10.1002/sim.1265
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
This paper considers a marginal approach for the analysis of the effect of covariates on multivariate interval-censored survival data. Interval censoring of multivariate events can occur when the events are not directly observable but are detected by periodically performing clinical examinations or laboratory tests. The method assumes the marginal distribution for each event is based on a discrete analogue of the proportional hazards model for interval-censored data. A robust estimator for the covariance matrix is developed that accounts for the correlation between events. A simulation study comparing the performance of this method and a midpoint imputation approach indicates the parameter estimates from the proposed method are less biased. Furthermore, even when the events are only modestly correlated, ignoring the correlation can result in erroneous variance estimators. The method is illustrated using data from an ongoing clinical trial involving subjects with systemic lupus erythematosus. Copyright (C) 2002 John Wiley Sons, Ltd.
引用
收藏
页码:3715 / 3726
页数:12
相关论文
共 24 条
[1]  
Betensky RA, 1999, STAT MED, V18, P3089, DOI 10.1002/(SICI)1097-0258(19991130)18:22<3089::AID-SIM191>3.0.CO
[2]  
2-0
[3]   CENSORING IN AN EPIDEMIC WITH AN APPLICATION TO HEMOPHILIA-ASSOCIATED AIDS [J].
BROOKMEYER, R ;
GOEDERT, JJ .
BIOMETRICS, 1989, 45 (01) :325-335
[4]   A PROPORTIONAL HAZARDS MODEL FOR INTERVAL-CENSORED FAILURE TIME DATA [J].
FINKELSTEIN, DM .
BIOMETRICS, 1986, 42 (04) :845-854
[5]   A proportional hazards model for multivariate interval-censored failure time data [J].
Goggins, WB ;
Finkelstein, DM .
BIOMETRICS, 2000, 56 (03) :940-943
[6]   BIVARIATE EXPONENTIAL-DISTRIBUTIONS [J].
GUMBEL, EJ .
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1960, 55 (292) :698-707
[7]   REGRESSION-ANALYSIS OF MULTIVARIATE GROUPED SURVIVAL-DATA [J].
GUO, SW ;
LIN, DY .
BIOMETRICS, 1994, 50 (03) :632-639
[8]  
HOCHBERG MC, 1989, P 2 INT C SYST LUP E, P32
[9]  
HOUGAARD P, 1987, SCAND J STAT, V14, P291
[10]  
Kelly PJ, 2000, STAT MED, V19, P13, DOI 10.1002/(SICI)1097-0258(20000115)19:1&lt