Cause-specific hazard regression for competing risks data under interval censoring and left truncation

Chenxi Li

Computational Statistics & Data Analysis, 2016, vol. 104, issue C, 197-208

Abstract: Inference for cause-specific hazards from competing risks data under interval censoring and possible left truncation has been understudied. Aiming at this target, a penalized likelihood approach for a Cox-type proportional cause-specific hazards model is developed, and the associated asymptotic theory is discussed. Monte Carlo simulations show that the approach performs very well for moderate sample sizes. An application to a longitudinal study of dementia illustrates the practical utility of the method. In the application, the age-specific hazards of AD, other dementia and death without dementia are estimated, and risk factors of all competing risks are studied.

Keywords: Competing risks; Cause-specific hazard; Interval censoring; Left truncation; Penalized likelihood; Smoothing parameter selection (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:eee:csdana:v:104:y:2016:i:c:p:197-208

DOI: 10.1016/j.csda.2016.07.003

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