Semiparametric modelling and estimation of covariate‐adjusted dependence between bivariate recurrent events

• Published in: Biometrics Vol. 76; no. 4; pp. 1229 - 1239
• Main Authors: Ning, Jing, Cai, Chunyan, Chen, Yong, Huang, Xuelin, Wang, Mei‐Cheng
• Format: Journal Article
• Language: English
• Published: England Blackwell Publishing Ltd 01.12.2020
• Subjects: Asymptotic properties; Bivariate analysis; bivariate recurrent event; cancer recurrence; Chronic Disease; Computer Simulation; covariate‐adjusted rate ratio; Dependence; dependence structure; Humans; joint model; Modelling; Models, Statistical; Neoplasm Recurrence, Local; Parameter estimation; Probability; rate ratio; Recurrence; regression analysis; Regression models; Sarcoma; Soft tissue sarcoma; Soft tissues; tissues; dependence structure; rate ratio; bivariate recurrent event; joint model; covariate-adjusted rate ratio

A time‐dependent measure, termed the rate ratio, was proposed to assess the local dependence between two types of recurrent event processes in one‐sample settings. However, the one‐sample work does not consider modeling the dependence by covariates such as subject characteristics and treatments rece...