A Regression Survival Model for Testing the Proportional Hazards Hypothesis

DOI10.2307/2533049zbMath0875.62541OpenAlexW2324599156WikidataQ71790242 ScholiaQ71790242MaRDI QIDQ4335756

Joseph Lellouch, Jean Maccario, Thierry Moreau, Catherine Quantin, Bernard Asselain

Publication date: 9 November 1997

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/2533049

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (11)

A partial score test for difference among heterogeneous populations ⋮ On penalized likelihood estimation for a non-proportional hazards regression model ⋮ A semi-parametric generalization of the Cox proportional hazards regression model: inference and applications ⋮ Goodness-of-fit criteria for the Cox model from left truncated and right censored data ⋮ On goodness‐of‐fit for homogeneity and proportional hazards ⋮ Case and event influence on the proportional hazards assumption ⋮ Bayes factors for choosing among six common survival models ⋮ Fitting a Semi-Parametric Mixture Model for Competing Risks in Survival Data ⋮ Use of log - log survival function in modeling time-covariate interactions in Cox regression ⋮ Testing proportional hazards for specified covariates ⋮ Comparison of goodness of fit tests for the cox proportional hazards model

This page was built for publication: A Regression Survival Model for Testing the Proportional Hazards Hypothesis