ArticleJournal of statistical theory and applications : JSTA2023
Continuity corrected Wilson interval for the difference of two independent proportions.
Article in Journal of statistical theory and applications : JSTA, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.
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Who cites it
6 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Machine learning model predicts acute kidney injury in pediatric patients after cardiac surgery: a systematic review and meta-analysis.BMC nephrology · 2026Pooled it
- Diagnostic accuracy and confounders of vagus nerve ultrasound in amyotrophic lateral sclerosis-a single-center case series and pooled individual patient data meta-analysis.Journal of neurology · 2024Pooled it
- Testing disease progression under the proportional reduction in decline in Alzheimer's disease studies.Journal of applied statistics · 2026Article
- [Remote glycemic control using devices for wireless data transmission in children with type 1 diabetes mellitus: interim results of clinical approbation].Problemy endokrinologii · 2025Article
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- Circulating tumor DNA as a liquid biopsy for glioma detection in cerebrospinal fluid and plasma: A systematic review and meta-analysis.Neuro-oncology advancesReview
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3 authors.
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Abstract
Confidence interval for the difference of two proportions has been studied for decades. Many methods were developed to improve the approximation of the limiting distribution of test statistics, such as the profile likelihood method, the score method, and the Wilson method. For the Wilson interval developed by Beal (1987), the approximation of the Z test statistic to the standard normal distribution may be further improved by utilizing the continuity correction, in the observation of anti-conservative intervals from the Wilson interval. We theoretically prove that the Wilson interval is nested in the continuity corrected Wilson interval under mild conditions. We compare the continuity corrected Wilson interval with the commonly used methods with regards to coverage probability, interval width, and mean squared error of coverage probability. The proposed interval has good performance in many configurations. An example from a Phase II cancer trial is used to illustrate the application of these methods.
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