Generalized linear mixed model for binary outcomes when covariates are subject to measurement errors and detection limits-Reference-Cited by-同舟云学术

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Generalized linear mixed model for binary outcomes when covariates are subject to measurement errors and detection limits

Published:2017-10-05 Issue:1 Volume:37 Page:119-136
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Xie Xianhong¹^ORCID,Xue Xiaonan¹^ORCID,Strickler Howard D.¹^ORCID

Affiliation:

1. Department of Epidemiology and Population Health; Albert Einstein College of Medicine; Bronx NY 10461 USA

Funder

Lupus Foundation of America

National Cancer Institute

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Reference23 articles.

1. A joint model for nonlinear mixed-effects models with censoring and covariates measured with error, with application to AIDS studies;Wu;J Am Stat Assoc,2002

2. Longitudinal data analysis using generalized linear models;Liang;Biometrika,1986

3. Approximate inference in generalized linear mixed models;Breslow;J Am Stat Assoc,1993

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1. Validation Data-Located Modification for the Multilevel Analysis of Miscategorized Nominal Response with Covariates Subject to Measurement Error;Mathematical Methods of Statistics;2023-12

2. Multiparameter one‐sided tests for nonlinear mixed effects models with censored responses;Statistics in Medicine;2021-04-05

3. Likelihood Inference in the Random Effects Logistic Regression Model with ‎Response Misclassification and Covariate Subject to Measurement Error‎;Journal of Statistical Research of Iran;2019-09-01

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