Impact of dependent left truncation in semiparametric competing risks methods: A simulation study. Issue 3 (16th March 2017)

• Record Type: Journal Article
• Authors: Bakoyannis, Giorgos; Touloumi, Giota
• Is Part Of: Communications in statistics. Volume 46:Issue 3(2017)
• Page Start: 2025
• Page End: 2042
• Publication Date: 2017-03-16
• Subjects: Cause-specific hazards model -- Competing risks -- Fine–Gray model -- Late entry -- Left truncation; Primary 62N01 -- Secondary 62P10; Mathematical statistics -- Periodicals; Mathematical statistics -- Data processing -- Periodicals; Digital computer simulation -- Periodicals; 519.5
• DOI: 10.1080/03610918.2015.1030415
• Languages: English
• ISSNs: 0361-0918

Abstract

ABSTRACT: In this study, we investigated the robustness of the methods that account for independent left truncation when applied to competing risks settings with dependent left truncation. We specifically focused on the methods for the proportional cause-specific hazards model and the Fine–Gray model. Simulation experiments showed that these methods are not in general robust against dependent left truncation. The magnitude of the bias was analogous to the strength of the association between left truncation and failure times, the effect of the covariate on the competing cause of failure, and the baseline hazard of left truncation time.