Cox regression model with doubly truncated and interval-censored data

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2024-11-04 DOI:10.1016/j.csda.2024.108090

Pao-sheng Shen

引用次数: 0

Abstract

Interval sampling is an efficient sampling scheme used in epidemiological studies. Doubly truncated (DT) data arise under this sampling scheme when the failure time can be observed exactly. In practice, the failure time may not be observed and might be recorded only within time intervals, leading to doubly truncated and interval censored (DTIC) data. This article considers regression analysis of DTIC data under the Cox proportional hazards (PH) model and develops the conditional maximum likelihood estimators (cMLEs) for the regression parameters and baseline cumulative hazard function of models. The cMLEs are shown to be consistent and asymptotically normal. Simulation results indicate that the cMLEs perform well for samples of moderate size.

查看原文本刊更多论文

双截断数据和区间截断数据的 Cox 回归模型

区间抽样是流行病学研究中使用的一种高效抽样方案。在这种抽样方案下，当故障时间可以精确观测到时，就会产生双截（DT）数据。在实践中，故障时间可能无法被观察到，而只能在时间间隔内记录，这就导致了双重截断和时间间隔删减（DTIC）数据。本文考虑在 Cox 比例危险（PH）模型下对 DTIC 数据进行回归分析，并开发了模型回归参数和基线累积危险函数的条件最大似然估计值（cMLE）。cMLEs 具有一致性和渐近正态性。模拟结果表明，cMLE 在中等规模的样本中表现良好。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.