Lifetime Data Anal - Semiparametric analysis of recurrent events: artificial censoring, truncation, pairwise estimation and inference.

Tópicos

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Resumo

The analysis of recurrent failure time data from longitudinal studies can be complicated by the presence of dependent censoring. There has been a substantive literature that has developed based on an artificial censoring device. We explore in this article the connection between this class of methods with truncated data structures. In addition, a new procedure is developed for estimation and inference in a joint model for recurrent events and dependent censoring. Estimation proceeds using a mixed U-statistic based estimating function approach. New resampling-based methods for variance estimation and model checking are also described. The methods are illustrated by application to data from an HIV clinical trial as with a limited simulation study.

Resumo Limpo

analysi recurr failur time data longitudin studi can complic presenc depend censor substant literatur develop base artifici censor devic explor articl connect class method truncat data structur addit new procedur develop estim infer joint model recurr event depend censor estim proceed use mix ustatist base estim function approach new resamplingbas method varianc estim model check also describ method illustr applic data hiv clinic trial limit simul studi

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