Correcting for heterogeneity and non‐comparability bias in multicenter clinical trials with a rescaled random‐effect excess hazard model

DOI10.1002/bimj.202100210zbMath1528.62067MaRDI QIDQ6183916

Nathalie Grafféo, Roch Giorgi, Unnamed Author, Unnamed Author

Publication date: 4 January 2024

Published in: Biometrical Journal (Search for Journal in Brave)

zbMATH Keywords

heterogeneitycancerlife tablesnet survivalexcess hazard model

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

• Nondissipative and energy-stable high-order finite-difference interface schemes for 2-D patch-refined grids
• Survival and event history analysis. A process point of view
• One-sided tests in shared frailty models
• Score test of homogeneity for survival data. (With discussion)
• The frailty model.
• A log-rank-type test to compare net survival distributions
• Asymptotic Properties of Maximum Likelihood Estimators and Likelihood Ratio Tests Under Nonstandard Conditions
• Diagnosing misspecification of the random‐effects distribution in mixed models
• A new look at the statistical model identification
• A Tutorial on Multilevel Survival Analysis: Methods, Models and Applications

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