A Proportional Hazards Model for Interval-Censored Failure Time Data
- 1 December 1986
- journal article
- research article
- Published by JSTOR in Biometrics
- Vol. 42 (4) , 845-854
- https://doi.org/10.2307/2530698
Abstract
This paper develops a method for fitting the proportional hazards regression model when the data contain left-, right-, or interval-censored observations. Results given for testing the hypothesis of a zero regression coefficient lead to a generalization of the log-rank test for comparison of several survival curves. The method is used to analyze data from an animal tumorigenicity study and also a clinical trial.This publication has 4 references indexed in Scilit:
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