The Statistical Analysis of Multivariate Failure Time Data: A Marginal Modeling Approach.

DOI10.1080/01621459.2020.1846975zbMath1452.00006OpenAlexW3107982686MaRDI QIDQ5146057

Richard J. Cook

Publication date: 22 January 2021

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/01621459.2020.1846975

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01) Characterization and structure theory for multivariate probability distributions; copulas (62H05) Introductory exposition (textbooks, tutorial papers, etc.) pertaining to statistics (62-01) Research exposition (monographs, survey articles) pertaining to statistics (62-02) Estimation in survival analysis and censored data (62N02) Reliability and life testing (62N05) External book reviews (00A17)

Uses Software

• invGauss

Cites Work

• Longitudinal data analysis using generalized linear models
• An introduction to copulas.
• Survival and event history analysis. A process point of view
• Modeling survival data: extending the Cox model
• Analysis of multivariate survival data
• The frailty model.
• Estimating Equations for Parameters in Means and Covariances of Multivariate Discrete and Continuous Responses
• Statistical models based on counting processes