Additive hazards regression of current status data with auxiliary covariates

Yanqin Feng, Yuan Dong and Yang Li

Communications in Statistics - Theory and Methods, 2017, vol. 46, issue 21, 10657-10671

Abstract: This paper discusses the regression analysis of current status failure time data arising from the additive hazards model with auxiliary covariates. As often occurs in practice, it is impossible or impractical to measure the exact magnitude of covariates for all subjects in a study. To compensate the missing information, some auxiliary covariates are utilized instead. We propose two easy-to-implement procedures for estimation of regression parameters by making use of auxiliary information. The asymptotic properties of the resulting estimators are established and extensive numerical studies indicate that both procedures work well in practice.

Date: 2017
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DOI: 10.1080/03610926.2016.1242737

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