Correlated versus uncorrelated frailty Cox models: A comparison of different estimation procedures
DOI10.1002/BIMJ.201500066zbMath1358.62093OpenAlexW2490873225WikidataQ38858319 ScholiaQ38858319MaRDI QIDQ2829472
Henrik Stryhn, Adel Elghafghuf
Publication date: 28 October 2016
Published in: Biometrical Journal (Search for Journal in Brave)
Full work available at URL: http://doi.wiley.com/10.1002/bimj.201500066
simulation studyregression modelsfrailty modelsestimation procedurescorrelated frailty Cox modelmultilevel survival analysisPoisson modeling approach
Applications of statistics to biology and medical sciences; meta analysis (62P10) Reliability and life testing (62N05)
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- Laplace's approximation for relative risk frailty models
- Comparison of different estimation procedures for proportional hazards model with random effects
- Bivariate frailty model for the analysis of multivariate survival time
- Maximum penalized likelihood estimation in a Gamma-frailty model
- The frailty model.
- A comparison of different bivariate correlated frailty models and estimation strategies
- Fitting Conditional Survival Models to Meta‐Analytic Data by Using a Transformation Toward Mixed‐Effects Models
- An Algorithm for Least-Squares Estimation of Nonlinear Parameters
- Random effects Cox models: A Poisson modelling approach
- A Penalized Likelihood Approach for Arbitrarily Censored and Truncated Data: Application to Age-Specific Incidence of Dementia
- Estimation of Multivariate Frailty Models Using Penalized Partial Likelihood
- Approximate Inference in Generalized Linear Mixed Models
- Proportional hazards models with random effects to examine centre effects in multicentre cancer clinical trials
- Frailty Survival Model Analysis of the National Deceased Donor Kidney Transplant Dataset Using Poisson Variance Structures
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