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Estimation/Imputation strategies for missing data in survival analysis

Abstract : We consider the problem of estimation from right-censored data, when the censoring indicator is possibly missing. We compare different estimatio/imputation strategies for recovering nuisance functional parameters. More precisely, we propose either a parametric strategy following a logistic model standard or a pure nonparametric regression strategy. We provide theoretical properties and numerical comparisons for these procedures.
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Contributor : Elodie Brunel <>
Submitted on : Monday, April 29, 2013 - 2:13:16 PM
Last modification on : Friday, April 10, 2020 - 5:15:02 PM
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Fabienne Comte, Agathe Guilloux, Elodie Brunel. Estimation/Imputation strategies for missing data in survival analysis. Vincent Couallier, Léo Gerville-Réache, Catherine Huber-Carol, Nikolaos Limnios andMounir Mesbah. Statistical Models and Methods for Reliability and Survival Analysis, John Wiley & Sons, Inc., Hoboken, USA, pp.229-252, 2014, 9781848216198. ⟨10.1002/9781118826805.ch15⟩. ⟨hal-00818859⟩



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