Analyzing dependence in incidence of diabetes and heart problem using generalized bivariate geometric models with covariates

DOI10.1080/02664763.2016.1266467OpenAlexW2561759048MaRDI QIDQ5138754

M. Ataharul Islam, Rafiqul Islam Chowdhury, Khalaf Salman Sultan

Publication date: 4 December 2020

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

Full work available at URL: https://doi.org/10.1080/02664763.2016.1266467

zbMATH Keywords

generalized linear modelsjoint modelmarginal modelconditional modeldependence in outcomesbivariate geometric modelincidence of diabetes and heart diseases

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• Characterizations of multivariate geometric distributions in terms of conditional distributions
• On characterizing the bivariate exponential and geometric distributions
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• A characterization of bivariate geometric distribution
• Hazard functions and life distributions in discrete time
• Some characterizations of distributions by truncated moments
• Bivariate Distributions With Exponential Conditionals
• A generalized bivariate Bernoulli model with covariate dependence
• Modeling with Bivariate Geometric Distributions
• A Multivariate Exponential Distribution

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