Maximum likelihood estimation for the proportion difference of two-sample binomial data subject to one type of misclassification-Reference-Cited by-同舟云学术

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Maximum likelihood estimation for the proportion difference of two-sample binomial data subject to one type of misclassification

Published:2019-11-17 Issue:8 Volume:22 Page:1365-1379
ISSN:0972-0510
Container-title:Journal of Statistics and Management Systems
language:en
Short-container-title:Journal of Statistics and Management Systems

Author:

Rahardja Dewi¹,Wu Han²,Zhang Zhiwei³,Tiedt Andrew D.⁴

Affiliation:

1. U. S. Department of Defense, Fort Meade, MD 20755, U.S.A

2. Department of Mathematics & Statistics, Minnesota State University, Mankato, MN 56001, U.S.A

3. Department of Statistics, University of California Riverside, Riverside, CA 92521, U.S.A

4. U.S. Department of Justice, Washington, DC 20530, U.S.A

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/09720510.2019.1606319

Reference21 articles.

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

2. Confidence intervals for a binomial parameter based on binary data subject to false-positive misclassification

3. Misclassification in 2 X 2 Tables

4. Case-Control Studies With Errors in Covariates

5. Variance estimation for epidemiologic effect estimates under misclassification

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