Predictive capability of proportional hazards regression.

DOI10.1073/PNAS.91.6.2310zbMath0791.62068OpenAlexW1964648989WikidataQ35106281 ScholiaQ35106281MaRDI QIDQ4294550

John O'Quigley, Philippe Flandre

Publication date: 20 July 1994

Published in: Proceedings of the National Academy of Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1073/pnas.91.6.2310

zbMATH Keywords

censoringresidualsproportional hazards regressionWeibull regression modelpredictive capabilityanalytic resultscovariate distribution

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) General nonlinear regression (62J02)

Related Items (7)

Survival model construction guided by fit and predictive strength ⋮ Explained variation for recurrent event data ⋮ A study of R² measure under the accelerated failure time models ⋮ Predictive capability of stratified proportional hazards models ⋮ A. R.²type measure of dependence for proportional hazards models ⋮ Survival Analysis with Time-Varying Regression Effects Using a Tree-Based Approach ⋮ A Measure of Explained Variation for Event History Data

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