Please use this identifier to cite or link to this item:
|Title:||Sample sizes for estimating differences in proportionscan we keep things simple?|
Differences in proportions
|Citation:||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|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Jan 14, 2019
WEB OF SCIENCETM
checked on Jan 7, 2019
checked on Dec 28, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.