The shared frailty model and the power for heterogeneity tests in multicenter trials.
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Publication:1614842
DOI10.1016/S0167-9473(02)00057-9zbMath1180.62139MaRDI QIDQ1614842
Luc Duchateau, Catherine Legrand, Rosemary Nguti, Paul Janssen, Patrick Lindsey
Publication date: 9 September 2002
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Estimation in survival analysis and censored data (62N02) Testing in survival analysis and censored data (62N03)
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Cites Work
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- Consistency in a proportional hazards model incorporating a random effect
- Survival analysis. Techniques for censored and truncated data
- Modeling survival data: extending the Cox model
- Asymptotic theory for the correlated gamma-frailty model
- Asymptotic theory for the frailty model
- Asymptotic Properties of Maximum Likelihood Estimators and Likelihood Ratio Tests Under Nonstandard Conditions
- Variance Components Testing in the Longitudinal Mixed Effects Model
- Statistical models based on counting processes
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