Describing heterogeneous effects in stratified ordinal contingency tables, with application to multi-center clinical trials.

DOI10.1016/S0167-9473(00)00020-7zbMath1080.62523OpenAlexW2025551486WikidataQ61757482 ScholiaQ61757482MaRDI QIDQ5940831

Alan Agresti, Jonathan Hartzel, I-Ming Liu

Publication date: 20 August 2001

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0167-9473(00)00020-7

zbMATH Keywords

Adjacent-categories logitAssociation modelsCumulative logitGauss-Hermite quadratureNonparametric mixture modelOdds ratioProportional odds modelRandom effectTreatment-by-center interaction

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Contingency tables (62H17)

Related Items

The analysis of ordered categorical data: An overview and a survey of recent developments. (With discussion), Modeling Clustered Ordered Categorical Data: A Survey, Information based model selection criteria for generalized linear mixed models with unknown variance component parameters, Generalized semiparametrically structured mixed models, Examples in which misspecification of a random effects distribution reduces efficiency, and possible remedies, Variable selection in discrete survival models including heterogeneity, Unnamed Item, Generalized log-linear models with random effects, with application to smoothing contingency tables

Uses Software

• Ox
• Fahrmeir

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Random effects in ordinal regression models
• Multivariate statistical modelling based on generalized linear models. With contributions by Wolfgang Hennevogl
• Standard Errors of Prediction in Generalized Linear Mixed Models
• Heterogeneity in Mantel-Haenszel-type models
• Simultaneously Modeling Joint and Marginal Distributions of Multivariate Categorical Responses
• Mantel-Haenszel-Type Inference for Cumulative Odds Ratios with a Stratified Ordinal Response
• A General Maximum Likelihood Analysis of Variance Components in Generalized Linear Models
• A Random-Effects Ordinal Regression Model for Multilevel Analysis