Conditions for consistent estimation in mixed‐effects models for binary matched‐pairs data

DOI10.2307/3315829zbMath0800.62113OpenAlexW1993405066MaRDI QIDQ4311666

W. W. Hauck, John M. Neuhaus, John D. Kalbfleisch

Publication date: 30 October 1994

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

Full work available at URL: https://doi.org/10.2307/3315829

Mathematics Subject Classification ID

Point estimation (62F10) Robustness and adaptive procedures (parametric inference) (62F35)

Related Items (12)

On the equivalence between conditional and random-effects likelihoods in exponential families ⋮ The effect of misspecification of random effects distributions in clustered data settings with outcome-dependent sampling ⋮ Can we recover information from concordant pairs in binary matched pairs? ⋮ On exact interval estimation for the odds ratio in subject-specific table ⋮ Misspecifying the shape of a random effects distribution: why getting it wrong may not matter ⋮ Links between binary and multi-category logit item response models and quasi-symmetric loglinear models ⋮ Prediction of Random Effects in Linear and Generalized Linear Models under Model Misspecification ⋮ A Note on Type II Error Under Random Effects Misspecification in Generalized Linear Mixed Models ⋮ Cellular telephones and motor‐vehicle collisions: Some variations on matched‐pairs analysis ⋮ Examples in which misspecification of a random effects distribution reduces efficiency, and possible remedies ⋮ An Equivalence of Conditional and Unconditional Maximum Likelihood Estimators via Infinite Replication of Observations ⋮ Analysis of 1:1 matched cohort studies and twin studies, with binary exposures and binary outcomes

Cites Work

• Unnamed Item
• The geometry of mixture likelihoods: A general theory
• Semiparametric Estimation in the Rasch Model and Related Exponential Response Models, Including a Simple Latent Class Model for Item Analysis
• An Algorithm for Computing the Nonparametric MLE of a Mixing Distribution
• Consistent Estimates Based on Partially Consistent Observations
• Maximum Likelihood Estimation of Misspecified Models

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