Premium
Choice of conditional models in bivariate survival
Author(s) -
Henderson Robin,
Prince Helen
Publication year - 2000
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/(sici)1097-0258(20000229)19:4<563::aid-sim356>3.0.co;2-k
Subject(s) - bivariate analysis , covariate , econometrics , statistics , variable (mathematics) , conditional probability distribution , joint probability distribution , survival analysis , mathematics , survival function , bivariate data , marginal distribution , random variable , mathematical analysis
We consider bivariate survival problems in which interest is in the conditional distribution of one survival variable given an uncensored observation of the other. The work is motivated by an analysis of time to cancer diagnosis then subsequent survival amongst a group of organ transplant recipients. The effect of conditioning is illustrated for five standard bivariate models. The consequences of adopting a misspecified marginal approach in which the conditioning variable is considered to be a fixed covariate are investigated. Copyright © 2000 John Wiley & Sons, Ltd.