A spreadsheet template compatible with Microsoft Excel and iWork Numbers that returns the simultaneous confidence intervals for all pairwise differences between multiple sample means.
A. Brown. Computer methods and programs in biomedicine, 98 (1):
76-82(April 2010)5535<m:linebreak></m:linebreak>Límits de confiança; Comparacions múltiples; Software estadístic.
DOI: 10.1016/j.cmpb.2009.10.001
Abstract
The objective of the method described in this paper is to develop a spreadsheet template for the purpose of comparing multiple sample means. An initial analysis of variance (ANOVA) test on the data returns F--the test statistic. If F is larger than the critical F value drawn from the F distribution at the appropriate degrees of freedom, convention dictates rejection of the null hypothesis and allows subsequent multiple comparison testing to determine where the inequalities between the sample means lie. A variety of multiple comparison methods are described that return the 95% confidence intervals for differences between means using an inclusive pairwise comparison of the sample means.
%0 Journal Article
%1 Brown2010
%A Brown, Angus M
%D 2010
%J Computer methods and programs in biomedicine
%K AnalysisofVariance ConfidenceIntervals DataInterpretation DatabaseManagementSystems DatabasesasTopic FeasibilityStudies Humans Statistical
%N 1
%P 76-82
%R 10.1016/j.cmpb.2009.10.001
%T A spreadsheet template compatible with Microsoft Excel and iWork Numbers that returns the simultaneous confidence intervals for all pairwise differences between multiple sample means.
%U http://www.sciencedirect.com/science/article/B6T5J-4XMC006-1/2/067302ab296726250c34fb6203ad7583 http://www.ncbi.nlm.nih.gov/pubmed/19896234
%V 98
%X The objective of the method described in this paper is to develop a spreadsheet template for the purpose of comparing multiple sample means. An initial analysis of variance (ANOVA) test on the data returns F--the test statistic. If F is larger than the critical F value drawn from the F distribution at the appropriate degrees of freedom, convention dictates rejection of the null hypothesis and allows subsequent multiple comparison testing to determine where the inequalities between the sample means lie. A variety of multiple comparison methods are described that return the 95% confidence intervals for differences between means using an inclusive pairwise comparison of the sample means.
%@ 0169-2607
@article{Brown2010,
abstract = {The objective of the method described in this paper is to develop a spreadsheet template for the purpose of comparing multiple sample means. An initial analysis of variance (ANOVA) test on the data returns F--the test statistic. If F is larger than the critical F value drawn from the F distribution at the appropriate degrees of freedom, convention dictates rejection of the null hypothesis and allows subsequent multiple comparison testing to determine where the inequalities between the sample means lie. A variety of multiple comparison methods are described that return the 95% confidence intervals for differences between means using an inclusive pairwise comparison of the sample means.},
added-at = {2023-02-03T11:44:35.000+0100},
author = {Brown, Angus M},
biburl = {https://www.bibsonomy.org/bibtex/2656279a7d6a02a64d9ea16a9a5375f3d/jepcastel},
doi = {10.1016/j.cmpb.2009.10.001},
interhash = {05d6cb6b30dcdc9cc35379e5954435dd},
intrahash = {656279a7d6a02a64d9ea16a9a5375f3d},
isbn = {0169-2607},
issn = {1872-7565},
journal = {Computer methods and programs in biomedicine},
keywords = {AnalysisofVariance ConfidenceIntervals DataInterpretation DatabaseManagementSystems DatabasesasTopic FeasibilityStudies Humans Statistical},
month = {4},
note = {5535<m:linebreak></m:linebreak>Límits de confiança; Comparacions múltiples; Software estadístic},
number = 1,
pages = {76-82},
pmid = {19896234},
timestamp = {2023-02-03T11:44:35.000+0100},
title = {A spreadsheet template compatible with Microsoft Excel and iWork Numbers that returns the simultaneous confidence intervals for all pairwise differences between multiple sample means.},
url = {http://www.sciencedirect.com/science/article/B6T5J-4XMC006-1/2/067302ab296726250c34fb6203ad7583 http://www.ncbi.nlm.nih.gov/pubmed/19896234},
volume = 98,
year = 2010
}