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Regression analysis of censored survival data with the generalized F family—an alternative to the proportional hazards model
Author(s) -
Ciampi Antonio,
Hogg Sheilah A.,
Kates Louis
Publication year - 1986
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.4780050111
Subject(s) - statistics , proportional hazards model , quantile , confidence interval , survival analysis , mathematics , econometrics , accelerated failure time model , regression analysis , quantile regression , life expectancy , regression , censoring (clinical trials) , covariate , medicine , population , environmental health
We show that the generalized F family is a useful tool for regression analysis with censored survival data. We discuss maximum likelihood estimation and give asymptotic procedures for calculating confidence intervals, tests of significance for the parameters, life expectancy, quantiles and survival rates. Survival data on 704 ovarian carcinoma patients serve to demonstrate the utility of the model.