Enhanced Inference for Finite Population Sampling-Based Prevalence Estimation with Misclassification Errors-Reference-Cited by-同舟云学术

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Enhanced Inference for Finite Population Sampling-Based Prevalence Estimation with Misclassification Errors

Published:2023-08-23 Issue: Volume: Page:1-7
ISSN:0003-1305
Container-title:The American Statistician
language:en
Short-container-title:The American Statistician

Author:

Ge Lin¹^ORCID,Zhang Yuzi¹^ORCID,Waller Lance A.¹^ORCID,Lyles Robert H.¹

Affiliation:

1. Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA

Funder

National Institute of Health (NIH)/National Institute of Allergy and Infectious Diseases

NIH/National Center for Advancing Translational Sciences

NIH/National Cancer Institute

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,General Mathematics,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/00031305.2023.2250401

Reference22 articles.

1. Experimental Design for Binary Data

2. Approximate is Better than “Exact” for Interval Estimation of Binomial Proportions

3. Confidence intervals for prevalence estimates from complex surveys with imperfect assays

4. POINT ESTIMATES AND CONFIDENCE INTERVALS FOR INFECTION RATES USING POOLED ORGANISMS IN EPIDEMIOLOGIC STUDIES1

5. On the Foundations of Statistical Inference: Binary Experiments

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