Kulinskaya, Elena and Staudte, Robert G. (2007) Confidence intervals for the standardized effect arising in comparisons of two normal populations. Statistics in Medicine, 26 (14). pp. 2853-2871. ISSN 0277-6715
Full text not available from this repository. (Request a copy)Abstract
Confidence intervals for a standardized effect are derived after stabilizing the variance of the Welch t-statistic. Simulation studies demonstrate the viability of the resulting intervals for a wide range of parameter values and sample sizes as small as five. The methodology is extended to the combination of results from several studies, so as to obtain a confidence interval for a representative standardized effect for all the studies. The methods are illustrated on a recent meta-analytic study of systolic blood pressure reduction during a weight reducing regime, as well as the classical Mumford data on psychological intervention and hospital length of stay.
Item Type: | Article |
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Faculty \ School: | Faculty of Science > School of Computing Sciences |
UEA Research Groups: | Faculty of Science > Research Groups > Norwich Epidemiology Centre Faculty of Medicine and Health Sciences > Research Groups > Norwich Epidemiology Centre Faculty of Science > Research Groups > Data Science and Statistics Faculty of Medicine and Health Sciences > Research Centres > Business and Local Government Data Research Centre (former - to 2023) |
Related URLs: | |
Depositing User: | Vishal Gautam |
Date Deposited: | 09 Mar 2011 09:36 |
Last Modified: | 22 Apr 2023 01:12 |
URI: | https://ueaeprints.uea.ac.uk/id/eprint/23755 |
DOI: | 10.1002/sim.2751 |
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