Lymphangiogenesis and carcinoma in the uterine cervix: joint and hierarchical models for random cluster sizes and continuous outcomes

DOI10.1214/15-AOAS867zbMath1397.62449arXiv1601.08097OpenAlexW2258383689MaRDI QIDQ262366

C. M. Chapman, T. Crick, T. R. Fanshawe

Publication date: 29 March 2016

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

Full work available at URL: https://arxiv.org/abs/1601.08097

zbMATH Keywords

hierarchical modeljoint modelcervical carcinomainformative cluster sizelymphangiogenesisrandom effect

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Uses Software

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• MASS (R)
• nlme
• WinBUGS
• MEMSS

Cites Work

• Marginal Analyses of Clustered Data When Cluster Size Is Informative
• A Bayesian Approach for Joint Modeling of Cluster Size and Subunit-Specific Outcomes
• Statistical Analysis of Financial Data in S-Plus
• Estimation of covariate effects in generalized linear mixed models with informative cluster sizes
• A Correlated Probit Model for Joint Modeling of Clustered Binary and Continuous Responses
• Mixed-Effects Models in S and S-PLUS
• Likelihood Models for Clustered Binary and Continuous Out comes: Application to Developmental Toxicology
• Regression Models for a Bivariate Discrete and Continuous Outcome with Clustering
• Marginal Analysis of Correlated Failure Time Data with Informative Cluster Sizes

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