Please use this identifier to cite or link to this item: https://doi.org/10.1080/10543406.2010.508346
Title: Sample sizes for estimating differences in proportionscan we keep things simple?
Authors: Tan, S.H.
MacHin, D.
Tan, S.B. 
Keywords: Confidence interval
Differences in proportions
Sample size
Issue Date: 1-Jan-2012
Source: Tan, S.H., MacHin, D., Tan, S.B. (2012-01-01). Sample sizes for estimating differences in proportionscan we keep things simple?. Journal of Biopharmaceutical Statistics 22 (1) : 133-140. ScholarBank@NUS Repository. https://doi.org/10.1080/10543406.2010.508346
Abstract: Sample sizes for studies that aim to estimate differences in proportions are often calculated using a confidence interval approach. In particular, the methods advocated by Day (1988) and Bristol (1989), based on asymptotic normal approximations, are commonly used. We compare these to the Wilson score approach discussed by Newcombe (1998) and show, except for extreme values, that the Day method gives results close to those of Wilson score method, while that of Bristol is consistently higher. We argue that the asymptotic normal approximation approach of Day serves as a better guide for quick calculations of sample sizes. © 2012 Copyright Taylor and Francis Group, LLC.
Source Title: Journal of Biopharmaceutical Statistics
URI: http://scholarbank.nus.edu.sg/handle/10635/109040
ISSN: 10543406
DOI: 10.1080/10543406.2010.508346
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