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A multi-parameter regression model for interval censored survival data
Date
2020
Abstract
We develop flexible multiparameter regression (MPR) survival models for intervalācensored 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 intervalācensored 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.
Supervisor
Description
peer-reviewed
Publisher
John Wiley & Sons, Inc.
Citation
Statistics in Medicine;39 (14), pp. 1903-1918
Files
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Funding code
Funding Information
Irish Research Council (IRC)