Validity and Efficiency of Approximation Methods for Tied Survival Times in Cox Regression

DOI10.2307/2533573zbMath0925.62463OpenAlexW2009260971WikidataQ52897868 ScholiaQ52897868MaRDI QIDQ4360531

Irva Hertz-Picciotto, Beverly Rockhill

Publication date: 12 January 1999

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/2533573

zbMATH Keywords

proportional hazardsdiscrete failure timestied failures

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (7)

Study for prognosis and survival rate of ovarian cancer ⋮ Modeling of clinical phenotypes assessed at discrete study visits ⋮ Maximum likelihood estimation for tied survival data under Cox regression model via EM-algorithm ⋮ Regression models for grouped survival data: estimation and sensitivity analysis ⋮ A proportional hazards regression model with change-points in the baseline function ⋮ LIKELIHOOD APPROXIMATIONS AND DISCRETE MODELS FOR TIED SURVIVAL DATA ⋮ Time to Diagnosis: Accounting for Differential Endpoint Follow-up in Multi-Cohort Studies

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