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Testing Inference from Logistic Regression Models in Data with Unobserved Heterogeneity at Cluster Levels

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Publication:3391863
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DOI10.1080/03610910902846506zbMath1167.62064OpenAlexW2019185495MaRDI QIDQ3391863

Salma Ayis

Publication date: 13 August 2009

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610910902846506


zbMATH Keywords

clusterlogistic modelunobserved heterogeneitycausal inferencelogistic-normal modelbiased estimates


Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Generalized linear models (logistic models) (62J12)




Cites Work

  • Unnamed Item
  • Marketing models of consumer heterogeneity
  • Flexible mixture distribution modeling of dichotomous choice contingent valuation with heteroge\-neity
  • Econometric Causality
  • Testing Heterogeneity for Frailty Distribution in Shared Frailty Model
  • Instrumental variables and inverse probability weighting for causal inference from longitudinal observational studies
  • Longitudinal Data Analysis
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