Imputation and likelihood methods for matrix‐variate logistic regression with response misclassification

DOI10.1002/CJS.11620zbMath1492.62119OpenAlexW3171295280MaRDI QIDQ5094276

Grace Y. Yi, Junhan Fang

Publication date: 2 August 2022

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

Full work available at URL: https://doi.org/10.1002/cjs.11620

zbMATH Keywords

logistic regressionmisclassificationimputation methodestimation equationsmatrix-variate data

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12) Sampling theory, sample surveys (62D05)

Related Items (1)

Regularized matrix-variate logistic regression with response subject to misclassification

This page was built for publication: Imputation and likelihood methods for matrix‐variate logistic regression with response misclassification