Likelihood Inference for Exchangeable Binary Data with Varying Cluster Sizes

DOI10.1111/1541-0420.00003zbMath1210.62020OpenAlexW2061144897WikidataQ30796217 ScholiaQ30796217MaRDI QIDQ3079070

Catalina Stefanescu, Bruce W. Turnbull

Publication date: 1 March 2011

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://hdl.handle.net/1813/9207

zbMATH Keywords

EM algorithmclinical trialstrend testexchangeable binary data

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Point estimation (62F10)

Related Items (14)

Confidence Interval Estimation of the Intraclass Correlation Coefficient for Binary Outcome Data ⋮ Statistical inference for familial disease models assuming exchangeability ⋮ A class of models for multiple binary sequences under the hypothesis of Markov exchangeability ⋮ Likelihood inference for exchangeable continuous data with covariates and varying cluster sizes; use of the Farlie-Gumbel-Morgenstern model ⋮ An approximately optimal non-parametric procedure for analyzing exchangeable binary data with random cluster sizes ⋮ Analysis of clustered binary data with unequal cluster sizes: a semiparametric Bayesian approach ⋮ Test of Marginal Compatibility and Smoothing Methods for Exchangeable Binary Data with Unequal Cluster Sizes ⋮ Exact bounds on the probability of at least \(k\) successes in \(n\) exchangeable Bernoulli trials as a function of correlation coefficients ⋮ A full likelihood procedure of exchangeable negative binomials for modelling correlated and overdispersed count data ⋮ Analysis of Familial Aggregation in the Presence of Varying Family Sizes ⋮ A Pairwise Likelihood Procedure for Analyzing Exchangeable Binary Data with Random Cluster Sizes ⋮ Clustered binary data with random cluster sizes ⋮ Some new random effect models for correlated binary responses ⋮ A Simple Distribution for the Sum of Correlated, Exchangeable Binary Data

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