Marginal Correlation in Longitudinal Binary Data Based on Generalized Linear Mixed Models

DOI10.1080/03610920903249568zbMath1202.62080OpenAlexW2020489721MaRDI QIDQ3064091

Cristina Sotto, Tony Vangeneugden, Caroline Beunckens, Annouschka Laenen, Helena Geys, Geert Molenberghs

Publication date: 20 December 2010

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/1942/11213

zbMATH Keywords

reliabilityrandom effectsbinary dataintraclass correlationvariances

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Measures of association (correlation, canonical correlation, etc.) (62H20) Generalized linear models (logistic models) (62J12)

Related Items (4)

A marginalized multilevel model for bivariate longitudinal binary data ⋮ Estimating precision, repeatability, and reproducibility from Gaussian and non- Gaussian data: a mixed models approach ⋮ Marginal correlation from an extended random-effects model for repeated and overdispersed counts ⋮ Hierarchical models with normal and conjugate random effects : a review

Cites Work

• Longitudinal data analysis using generalized linear models
• The evaluation of surrogate endpoints.
• Models for discrete longitudinal data.
• Approximate Inference in Generalized Linear Mixed Models
• Generalized linear mixed models a pseudo-likelihood approach
• Linear mixed models for longitudinal data
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