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Logistic regression error-in-covariate models for longitudinal high-dimensional covariates

We consider a logistic regression model for a binary response where part of its covariates are subject-specific random intercepts and slopes from a large number of longitudinal covariates. These random effect covariates must be estimated from the observed data, and therefore, the model essentially i...

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Bibliografische gegevens
Gepubliceerd in:Stat
Hoofdauteurs: Park, Hyung, Lee, Seonjoo
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: 2019
Onderwerpen:
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7654973/
https://ncbi.nlm.nih.gov/pubmed/33177749
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sta4.246
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