Publication | Open Access
Why Test for Proportional Hazards?
516
Citations
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References
2020
Year
Retrospective Cohort StudyHealth PolicyProportional HazardsHealth OutcomePrognosisRisk ManagementPatient SafetyRiskJama GuideTime-varying ConfoundingLogistic AnalysisPublic HealthMedicineProximate CauseMedical StatisticEpidemiologyPh Assumption
This JAMA Guide to Statistics and Methods explains the meaning underlying the proportional hazards (PH) assumption underlying Cox regression and survival analyses, and proposes that reports of survival differences might replace statistical tests of the PH assumption because they are more meaningful.
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