Peer-Reviewed Journal Details
Mandatory Fields
Peng D, MacKenzie G and Burke K
2020
January
Statistics in medicine
A multiparameter regression model for interval-censored survival data
Published
5 ()
Optional Fields
crossing hazards dispersion model gamma frailty interval censoring longitudinal studies multiparameter regression survival models nonproportional hazards Weibull
© 2020 John Wiley & Sons, Ltd. We develop flexible multiparameter regression (MPR) survival models for interval-censored survival data arising in longitudinal prospective studies and longitudinal randomised controlled clinical trials. A multiparameter Weibull regression survival model, which is wholly parametric, and has nonproportional hazards, is the main focus of the article. 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 reanalysis of data from the Signal Tandmobiel study. The results demonstrate that the MPR model with frailty is computationally efficient and provides an excellent fit to the data.
0277-6715
https://arxiv.org/abs/1901.09634
10.1002/sim.8508
Grant Details