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02-03-2023

A semi-parametric weighted likelihood approach for regression analysis of bivariate interval-censored outcomes from case-cohort studies

Authors: Yichen Lou, Peijie Wang, Jianguo Sun

Published in: Lifetime Data Analysis | Issue 3/2023

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Abstract

The case-cohort design was developed to reduce costs when disease incidence is low and covariates are difficult to obtain. However, most of the existing methods are for right-censored data and there exists only limited research on interval-censored data, especially on regression analysis of bivariate interval-censored data. Interval-censored failure time data frequently occur in many areas and a large literature on their analyses has been established. In this paper, we discuss the situation of bivariate interval-censored data arising from case-cohort studies. For the problem, a class of semiparametric transformation frailty models is presented and for inference, a sieve weighted likelihood approach is developed. The large sample properties, including the consistency of the proposed estimators and the asymptotic normality of the regression parameter estimators, are established. Moreover, a simulation is conducted to assess the finite sample performance of the proposed method and suggests that it performs well in practice.

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Title: A semi-parametric weighted likelihood approach for regression analysis of bivariate interval-censored outcomes from case-cohort studies
Authors: Yichen Lou
Peijie Wang
Jianguo Sun
Publication date: 02-03-2023
Publisher: Springer US
Published in: Lifetime Data Analysis / Issue 3/2023
Print ISSN: 1380-7870
Electronic ISSN: 1572-9249
DOI: https://doi.org/10.1007/s10985-023-09593-9

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