A hierarchical model for analyzing multisite individual‐level disease surveillance data from multiple systems-Reference-Cited by-同舟云学术

A hierarchical model for analyzing multisite individual‐level disease surveillance data from multiple systems

Published:2022-03-22 Issue: Volume: Page:
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biometrics

Author:

Zhang Yuzi¹^ORCID,Chang Howard H.¹^ORCID,Cheng Qu²,Collender Philip A.²,Li Ting³,He Jinge³,Remais Justin V.²

Affiliation:

1. Department of Biostatistics and Bioinformatics Emory University Atlanta Georgia USA

2. Division of Environmental Health Sciences University of California Berkeley California USA

3. Institute of Tuberculosis Control and Prevention Sichuan Center for Disease Control and Prevention Chengdu Sichuan China

Funder

National Science Foundation

National Institutes of Health

Publisher

Wiley

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/biom.13647

Reference29 articles.

1. The applications of capture-recapture models to epidemiological data

2. Log-Linear Models for Capture-Recapture

3. The Use of Mixed Logit Models to Reflect Heterogeneity in Capture-Recapture Studies

4. Dealing with limited overlap in estimation of average treatment effects

5. Mixture Models for Estimating the Size of a Closed Population When Capture Rates Vary among Individuals

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