Information measures and design issues in the study of mortality deceleration: findings for the gamma-Gompertz model

DOI10.1007/s10985-021-09518-4OpenAlexW3132689244MaRDI QIDQ825263

Hein Putter, Marie Böhnstedt, Jutta Gampe

Publication date: 17 December 2021

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

Full work available at URL: https://doi.org/10.1007/s10985-021-09518-4

zbMATH Keywords

designlikelihood ratio testFisher informationgamma-Gompertz model

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Survival analysis and censored data (62Nxx)

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Cites Work

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• Investigating design for survival models
• Optimal designs for full and partial likelihood information -- with application to survival models
• Design of panel studies for disease progression with multiple stages
• Detecting mortality deceleration: likelihood inference and model selection in the gamma-Gompertz model
• The frailty model.
• Life table methods for heterogeneous populations: Distributions describing the heterogeneity
• An Introduction to Optimal Designs for Social and Biomedical Research
• OPTIMAL DESIGNS FOR FITTING A PROPORTIONAL HAZARDS REGRESSION MODEL TO DATA SUBJECT TO CENSORING
• The unobserved heterogeneity distribution in duration analysis
• Asymptotic Properties of Maximum Likelihood Estimators and Likelihood Ratio Tests Under Nonstandard Conditions
• Recent Developments in the Methods of Optimum and Related Experimental Designs
• Model Selection and Multimodel Inference
• Beyond the Gompertz law: exploring the late-life mortality deceleration phenomenon