A Multi-parameter regression model for interval censored survival data
Abstract
We develop flexible multi-parameter regression survival models for interval censored survival data arising in longitudinal prospective studies and longitudinal randomised controlled clinical trials. A multi-parameter Weibull regression survival model, which is wholly parametric, and has non-proportional hazards, is the main focus of the paper. We describe the basic model, develop the interval-censored likelihood and extend the model to include gamma frailty and a dispersion model. We evaluate the models by means of a simulation study and a detailed re-analysis of data from the Signal Tandmobiel study. The results demonstrate that the multi-parameter regression model with frailty is computationally efficient and provides an excellent fit to the data.
Cite
@article{arxiv.1901.09634,
title = {A Multi-parameter regression model for interval censored survival data},
author = {Defen Peng and Gilbert MacKenzie and Kevin Burke},
journal= {arXiv preprint arXiv:1901.09634},
year = {2019}
}