Lifetime Data Anal - Matched survival data in a co-twin control design.

Tópicos

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Resumo

When using the co-twin control design for analysis of event times, one needs a model to address the possible within-pair association. One such model is the shared frailty model in which the random frailty variable creates the desired within-pair association. Standard inference for this model requires independence between the random effect and the covariates. We study how violations of this assumption affect inference for the regression coefficients and conclude that substantial bias may occur. We propose an alternative way of making inference for the regression parameters by using a fixed-effects models for survival in matched pairs. Fitting this model to data generated from the frailty model provides consistent and asymptotically normal estimates of regression coefficients, no matter whether the independence assumption is met.

Resumo Limpo

use cotwin control design analysi event time one need model address possibl withinpair associ one model share frailti model random frailti variabl creat desir withinpair associ standard infer model requir independ random effect covari studi violat assumpt affect infer regress coeffici conclud substanti bias may occur propos altern way make infer regress paramet use fixedeffect model surviv match pair fit model data generat frailti model provid consist asymptot normal estim regress coeffici matter whether independ assumpt met

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