A Proportional Hazards Model for Interval-Censored Failure Time Data
Biometrics1986Vol. 42(4), pp. 845–845
Citations Over TimeTop 10% of 1986 papers
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.
Related Papers
- → The accelerated failure time model: A useful alternative to the cox regression model in survival analysis(1992)821 cited
- → Accelerated failure time (AFT) modeling for the development and survival of Russian wheat aphid, Diuraphis noxia (Mordvilko)(2009)10 cited
- → Optimal experimental designs for accelerated failure time with Type I and random censoring(2014)8 cited
- → STUDY AND ANALYSIS OF THE CHEST CANCER DATA USING SURVIVAL MODELS(2019)1 cited
- → Predicting Outcomes Over Time: Survival Analysis(2006)