Practical considerations when analyzing discrete survival times using the grouped relative risk model

DOI10.1007/S10985-017-9410-7zbMath1468.62130OpenAlexW2764295523WikidataQ47816318 ScholiaQ47816318MaRDI QIDQ725426

Rachel MacKay Altman, Andrew Henrey

Publication date: 1 August 2018

Published in: Lifetime Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10985-017-9410-7

zbMATH Keywords

bias reductionefficiencysmall samplesdiscrete survival timesgrouped relative risk modelpenalized score function

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Point estimation (62F10) Generalized linear models (logistic models) (62J12) Reliability and life testing (62N05)

Cites Work

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• A Note on the Efficiency of Sandwich Covariance Matrix Estimation
• Tests of Proportional Hazards and Proportional Odds Models for Grouped Survival Data
• Bias reduction of maximum likelihood estimates
• Marginal likelihoods based on Cox's regression and life model
• Mixed Hidden Markov Models
• Checking the Grouped Data Version of the Cox Model for Interval‐grouped Survival Data

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