A Proportional Hazards Model for Interval-Censored Failure Time Data
1986/12/01 by Dianne M. Finkelstein · 29 citations
Mathematics · #Statistical Methods and Bayesian Inference #Statistical Methods in Clinical Trials #Statistical Methods and Inference
paper · doi: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.
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