Sankhya: The Indian Journal of Statistics
2002, Volume 64, Series A, Pt. 2, 409--428
PROPORTIONAL HAZARDS MODEL FOR BIVARIATE SURVIVAL DATA UNDER INTERVAL CENSORING
HSIAO-CHUAN TIEN and PRANAB KUMAR SEN, University of North Carolina at Chapel Hill, USA
SUMMARY. Bivariate failure time models are often encountered in medical research, where each subject under study may experience two types of events or there exists a pairing. There are problems in measuring the association between variables when interval censoring occurs. A proportional hazards model is proposed to analyse such data. Maximum partial likelihood estimators are obtained and their large-sample properties are studied.
AMS (1991) subject classification}. Primary 62N01; secondary 62H12.
Key words and phrases: Bivariate survival function; censoring, counting processes, semiparametric models.
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