Lifetime Data Anal - Censored quantile regression for residual lifetimes.

Tópicos

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Resumo

We propose a regression method that studies covariate effects on the conditional quantiles of residual lifetimes at a certain followup time point. This can be particularly useful in cancer studies, where more patients survive cancers initially and a patient's residual life expectancy is used to compare the efficacy of secondary or adjuvant therapies. The new method provides a consistent estimator that often exhibits smaller standard error in real and simulated examples, compared to the existing method of Jung et al. (2009). It also provides a simple empirical likelihood inference method that does not require estimating the covariance matrix of the estimator or resampling. We apply the new method to a breast cancer study (NSABP Protocol B-04, Fisher et al. (2002)) and estimate median residual lifetimes at various followup time points, adjusting for important prognostic factors.

Resumo Limpo

propos regress method studi covari effect condit quantil residu lifetim certain followup time point can particular use cancer studi patient surviv cancer initi patient residu life expect use compar efficaci secondari adjuv therapi new method provid consist estim often exhibit smaller standard error real simul exampl compar exist method jung et al also provid simpl empir likelihood infer method requir estim covari matrix estim resampl appli new method breast cancer studi nsabp protocol b fisher et al estim median residu lifetim various followup time point adjust import prognost factor

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