Title: Semiparametric regression based on quadratic inference function for multivariate failure time data with auxiliary information.

Authors: Yan, Feifei; Zhu, Lin; Liu, Yanyan; Cai, Jianwen; Zhou, Haibo

Published In Lifetime Data Anal, (2021 04)

Abstract: This paper deals with statistical inference procedure of multivariate failure time data when the primary covariate can be measured only on a subset of the full cohort but the auxiliary information is available. To improve efficiency of statistical inference, we use quadratic inference function approach to incorporate the intra-cluster correlation and use kernel smoothing technique to further utilize the auxiliary information. The proposed method is shown to be more efficient than those ignoring the intra-cluster correlation and auxiliary information and is easy to implement. In addition, we develop a chi-squared test for hypothesis testing of hazard ratio parameters. We evaluate the finite-sample performance of the proposed procedure via extensive simulation studies. The proposed approach is illustrated by analysis of a real data set from the study of left ventricular dysfunction.

PubMed ID: 33420545

MeSH Terms: No MeSH terms associated with this publication