Regression models for interval censored data using parametric pseudo-observations.

ABSTRACT:

Background

Time-to-event data that is subject to interval censoring is common in the practice of medical research and versatile statistical methods for estimating associations in such settings have been limited. For right censored data, non-parametric pseudo-observations have been proposed as a basis for regression modeling with the possibility to use different association measures. In this article, we propose a method for calculating pseudo-observations for interval censored data.

Methods

We develop an extension of a recently developed set of parametric pseudo-observations based on a spline-based flexible parametric estimator. The inherent competing risk issue with an interval censored event of interest necessitates the use of an illness-death model, and we formulate our me

SUBMITTER: Johansen MN 

PROVIDER: S-EPMC7883580 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature