A Partially Parametric Estimator of Survival in the Presence of Randomly Censored Data
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Publication:3492661
DOI10.2307/2532097zbMath0709.62037OpenAlexW2331020867WikidataQ34198246 ScholiaQ34198246MaRDI QIDQ3492661
John P. Klein, Shih-Chang Lee, Melvin L. Moeschberger
Publication date: 1990
Published in: Biometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.2307/2532097
mean squared errorrandom censoringbiascensored observationssurvival function estimationimprovement of the Kaplan-Meier product-limit estimator
Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05)
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A SIMPLE IMPROVEMENT OF THE KAPLAN-MEIER ESTIMATOR ⋮ H-relative error estimation for multiplicative regression model with random effect ⋮ A semi-parametric estimation of a survival function from incomplete and doubly censored data ⋮ A Novel Method to Calculate Mean Survival Time for Time-to-Event Data ⋮ Statistical analysis of right‐censored failure‐time data with partially specified hazard rates ⋮ ON THE ESTIMATION OF SURVIVAL FUNCTION UNDER RANDOM CENSORSHIP ⋮ Robust bias estimation for Kaplan-Meier survival estimator with jackknifing ⋮ A partially parametric estimator of survival in the presence of double censored data
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