bmco: Bayesian Analysis for Multivariate Categorical Outcomes

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Authors: Xynthia Kavelaars
Cited by: 0
References: 3

Abstract

Provides Bayesian methods for comparing groups on multiple binary outcomes. Includes basic tests using multivariate Bernoulli distributions, subgroup analysis via generalized linear models, and multilevel models for clustered data. For statistical underpinnings, see Kavelaars, Mulder, and Kaptein (2020) , Kavelaars, Mulder, and Kaptein (2024) , and Kavelaars, Mulder, and Kaptein (2023) . An interactive shiny app to perform sample size computations is available.

Fields of Study & Subjects

Statistical Methods and Bayesian Inference Statistical Distribution Estimation and Applications Statistical Methods in Clinical Trials

Publication details

Publication date
10 March 2026
Language
EN
Document type
Dataset