Comment: Quantifying information loss in survival studies

DOI10.1214/08-STS244BzbMath1329.62088arXiv1102.2982OpenAlexW3100771161MaRDI QIDQ908143

Hani Doss

Publication date: 3 February 2016

Published in: Statistical Science (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1102.2982

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Parametric hypothesis testing (62F03) Point estimation (62F10) Statistical aspects of information-theoretic topics (62B10) Reliability and life testing (62N05)

Cites Work

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• Cox's regression model for counting processes: A large sample study
• A survey of product-integration with a view toward application in survival analysis
• Partial likelihood
• The Efficiency of Cox's Likelihood Function for Censored Data
• The asymptotic information in censored survival data

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