A Tutorial on Multilevel Survival Analysis: Methods, Models and Applications

DOI10.1111/insr.12214OpenAlexW2598303606WikidataQ47094118 ScholiaQ47094118MaRDI QIDQ6086486

Peter C. Austin

Publication date: 10 November 2023

Published in: International Statistical Review (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/insr.12214

zbMATH Keywords

survival analysisclustered datafrailty modelsstatistical softwaremultilevel modelsCox proportional hazards modelhealth services researchhierarchical regression modelevent history models

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (4)

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Cites Work

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• Survival analysis. Techniques for censored and truncated data
• Modeling survival data: extending the Cox model
• Analysis of multivariate survival data
• The frailty model.
• MULTILEVEL DISCRETE-TIME EVENT HISTORY MODELS WITH APPLICATIONS TO THE ANALYSIS OF RECURRENT EMPLOYMENT TRANSITIONS
• The Robust Inference for the Cox Proportional Hazards Model
• Biased estimates of treatment effect in randomized experiments with nonlinear regressions and omitted covariates
• Fitting Cox's Regression Model to Survival Data using GLIM
• Covariance Analysis of Censored Survival Data Using Log-Linear Analysis Techniques

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