Hypothesis Tests for Neyman's Bias in Case–Control Studies

DOI10.1080/02664763.2017.1401053OpenAlexW2619386061WikidataQ64983872 ScholiaQ64983872MaRDI QIDQ5036463

C. D. Anderson, D. M. Swanson, Rebecca A. Betensky

Publication date: 23 February 2022

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2017.1401053

zbMATH Keywords

truncationodds ratiosurvival bias

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Cites Work

• Unnamed Item
• Testing the assumption of independence of truncation time and failure time
• Age-Specific Incidence and Prevalence: A Statistical Perspective
• Analysis of a molecular genetic neuro-oncology study with partially biased selection
• Testing Quasi-Independence of Failure and Truncation Times via Conditional Kendall's Tau
• A Class of Statistics with Asymptotically Normal Distribution

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