Generating Correlated Binary Variables with Complete Specification of the Joint Distribution

DOI<263::AID-BIMJ263>3.0.CO;2-5 10.1002/1521-4036(200106)43:3<263::AID-BIMJ263>3.0.CO;2-5zbMath1002.62021OpenAlexW2038263705MaRDI QIDQ2747245

Sin-Ho Jung, Seung-Ho Kang

Publication date: 13 January 2003

Full work available at URL: https://doi.org/10.1002/1521-4036(200106)43:3<263::aid-bimj263>3.0.co;2-5

zbMATH Keywords

generalized estimating equationstoxicologydependenceophthalmologyexchangeable binary data

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Random number generation in numerical analysis (65C10) Statistical distribution theory (62E99)

Related Items (10)

Methods for Generating Longitudinally Correlated Binary Data ⋮ Simulating longer vectors of correlated binary random variables via multinomial sampling ⋮ On finite-population Bayesian inferences for 2^K factorial designs with binary outcomes ⋮ High dimensional Bernoulli distributions: algebraic representation and applications ⋮ Cure rate model with bivariate interval censored data ⋮ A Simple Method for Constructing Multidimensional Distributions of Correlated Categorical Data ⋮ Easily simulated multivariate binary distributions with given positive and negative correlations ⋮ High-dimensional generation of Bernoulli random vectors ⋮ Representation of multivariate Bernoulli distributions with a given set of specified moments ⋮ Correlated endpoints: simulation, modeling, and extreme correlations

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