Biometrika · 1990 · 126 citations · 4 references
Public HealthBiostatisticsClinical EpidemiologyEpidemiologySurvival AnalysisHazard FunctionsMortality ModelingParametric Survival ModelsSurvival ModelingSurvival PredictionTime-to-event AnalysisExplained VarianceLog-likelihood FunctionsLog-likelihood RatioPrecisionSurvival Risk EstimationSurvival Risk ModelingTests Of Proportional HazardsTime-to-event Risk Modeling
Two new measures of the proportion of the variation of possibly censored survival times explained by a given proportional hazards model are presented. It is shown that the previously suggested proportion of explained log likelihood is not a useful measure of predictive precision. The new measures are intuitively appealing and sufficiently simple for routine application.
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