Estimation of surgeon effects in the analysis of post-operative colorectal cancer patients data

DOI10.1080/02664769922593zbMath0939.62116OpenAlexW2060650664MaRDI QIDQ4935557

M. C. Tung, Shu-Kay Ng, Michael Tow Cheung, Kelvin. K. W. Yau

Publication date: 10 April 2000

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664769922593

zbMATH Keywords

cancersurgeon effects

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12) Estimation in survival analysis and censored data (62N02)

Related Items (1)

Modelling repeated insurance claim frequency data using the generalized linear mixed model

Cites Work

• Models for Longitudinal Data: A Generalized Estimating Equation Approach
• Estimation in generalized linear models with random effects
• Partial likelihood
• The derivation of blup, ML, REML estimation methods for generalised linear mixed models
• Simulation study of the glmm method applied to the analysis of clustered survival data

This page was built for publication: Estimation of surgeon effects in the analysis of post-operative colorectal cancer patients data