Multiple decrement modeling in the presence of interval censoring and masking

DOI10.1080/03461230903134780zbMath1280.62116OpenAlexW2132077754MaRDI QIDQ3103212

Stephanie N. Dixon, Daniel J. Gillis, Masking Peter Adamic

Publication date: 26 November 2011

Published in: Scandinavian Actuarial Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03461230903134780

zbMATH Keywords

interval censoringsurvival functionmultiple risksself-consistencyinnermost interval

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Censored data models (62N01) Reliability and life testing (62N05)

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Uses Software

• R

Cites Work

• Inference for the dependent competing risks model with masked causes of failure
• Survival analysis. Techniques for censored and truncated data
• Survival with competing risks and masked causes of failures
• A nonidentifiability aspect of the problem of competing risks.
• A Hybrid Algorithm for Computation of the Nonparametric Maximum Likelihood Estimator From Censored Data
• An EM Algorithm for Smoothing the Self‐consistent Estimator of Survival Functions with Interval‐censored Data
• Nonparametric Estimation of a Survivorship Function with Doubly Censored Data
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