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A logistic PH regression model for interval censored survival data
Date
2002
Abstract
The survival function of the logistic proportional hazards (PH) regression model, MacKenzie (1996), is obtained. A general likelihood for interval censored survival data which depends only on various closed forms of the survival function of a continuous underlying failure time distribution is introduced. The use of the logistic PH survival distribution is proposed for the analysis of interval censored data following a PH distribution. The corresponding interval censored likelihood is developed and compared with a mis-specified likelihood which treats the interval censored data as if they were exact. A simulation study is used to compare the two likelihoods.
Supervisor
Description
peer-reviewed
Publisher
IWSM
Citation
Proceedings of the 17th International Workshop on Statistical Modelling.;
Collections
Files
Funding code
Funding Information
Sustainable Development Goals
External Link
Type
Meetings and Proceedings
Rights
https://creativecommons.org/licenses/by-nc-sa/1.0/