Bayesian Modeling of Latent Heterogeneity in Complex Survey Data and Electronic Health Records

Bayesian Modeling of Latent Heterogeneity in Complex Survey Data and Electronic Health Records

In population health, the study of unobserved, or latent, heterogeneity in longitudinal data may help inform public health interventions. Growth mixture modeling is a flexible tool for modeling latent heterogeneity in longitudinal data. However, the application of growth mixture models to certain da...

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Bibliographic Details
Main Author: Anthopolos, Rebecca
Language:English
Published: 2019
Subjects:
Biometry
Bayesian statistical decision theory > Mathematical models
Longitudinal studies
Medical records > Data processing
Online Access:https://doi.org/10.7916/d8-px1j-7442

Internet

https://doi.org/10.7916/d8-px1j-7442

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