Zero-inflated multiscale models for aggregated small area health data-Reference-Cited by-同舟云学术

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Zero-inflated multiscale models for aggregated small area health data

Published:2017-10-01 Issue:1 Volume:29 Page:e2477
ISSN:1180-4009
Container-title:Environmetrics
language:en
Short-container-title:Environmetrics

Author:

Aregay Mehreteab¹,Lawson Andrew B.¹,Faes Christel²,Kirby Russell S.³,Carroll Rachel⁴,Watjou Kevin²^ORCID

Affiliation:

1. Department of Public Health; Medical University of South Carolina; Charleston SC U.S.A.

2. Interuniversity Institute for Biostatistics and Statistical Bioinformatics; Hasselt University; Diepenbeek Belgium

3. Department of Community and Family Health; University of South Florida; Tampa FL U.S.A.

4. Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences; Durham NC U.S.A.

Funder

National Institute for Health Research

National Institutes of Health

Publisher

Wiley

Subject

Ecological Modeling,Statistics and Probability

Reference37 articles.

1. Zero-inflated models with application to spatial count data;Agarwal;Environmental and Ecological Statistics,2002

2. Bayesian multiscale modeling for aggregated disease mapping data;Aregay;Statistical Methods in Medical Research,2015

3. Impact of income on small area low birth weight incidence using multiscale models;Aregay;AIMS Public Health,2015

4. Spatial mixture multiscale modeling for aggregated health data;Aregay;Biometrical Journal,2016a

5. Multiscale measurement error models for aggregated small area health data;Aregay;Statistical Methods in Medical Research,b

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