Evaluation of Community-Intervention Trials via Generalized Linear Mixed Models

DOI10.1111/j.0006-341X.2004.00260.xzbMath1205.62102OpenAlexW2064805293WikidataQ48507739 ScholiaQ48507739MaRDI QIDQ3445354

Ziding Feng, Paula H. Diehr, Yutaka Yasui, Charles E. McCulloch, Dale McLerran, Shirley A A Beresford

Publication date: 11 June 2007

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.0006-341x.2004.00260.x

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Applications of statistics to social sciences (62P25) Generalized linear models (logistic models) (62J12)

Related Items

Small sample estimation properties of longitudinal count models, An improved approximation to the precision of fixed effects from restricted maximum likelihood, Comparison of subject-specific and population averaged models for count data from cluster-unit intervention trials

Uses Software

• PROC NLMIXED

Cites Work

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• Gaussian Markov distributions over finite graphs
• Consistency and asymptotic normality of the maximum likelihood estimator in generalized linear models
• Quasi-likelihood functions
• A Linear Mixed-Effects Model With Heterogeneity in the Random-Effects Population
• Small Sample Inference for Fixed Effects from Restricted Maximum Likelihood
• Maximum Likelihood Algorithms for Generalized Linear Mixed Models
• Approximate Inference in Generalized Linear Mixed Models
• Bias correction in generalised linear mixed models with a single component of dispersion
• Informative Drop-Out in Longitudinal Data Analysis
• A Random-Effects Ordinal Regression Model for Multilevel Analysis