Conditional logistic regression in cluster-specific1:mmatched treatment–control designs

DOI10.1080/03610926.2017.1337141zbMath1392.62320OpenAlexW2623430991MaRDI QIDQ4563526

Zhulin He

Publication date: 1 June 2018

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2017.1337141

zbMATH Keywords

conditional logistic regressionbinary outcomescluster-specificmatched treatment-control studies

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12)

Related Items (1)

An asymptotic result of conditional logistic regression estimator

Cites Work

• Adjusting for confounding by cluster using generalized linear mixed models
• Strong asymptotics for Jacobi polynomials with varying nonstandard parameters
• An Equivalence of Conditional and Unconditional Maximum Likelihood Estimators via Infinite Replication of Observations
• Uniform asymptotics for Jacobi polynomials with varying large negative parameters— a Riemann-Hilbert approach
• Estimation of Response Probabilities From Augmented Retrospective Observations
• Logistic regression for two-stage case-control data
• Inference Using Conditional Logistic Regression with Missing Covariates
• Consistent Estimates Based on Partially Consistent Observations
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