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Partitioning with Respect to a Control: Unequal Sample Sizes Case

Partitioning with Respect to a Control: Unequal Sample Sizes Case This article describes a method for partitioning with respect to a control for the situation in which the treatment sample sizes are unequal and also for the situation where the treatment sample sizes are equal except for a few missing values. Calculation of the critical values required for finding confidence limits is discussed and tables are presented for the “almost equal” sample size case. An application of this method to length of stay data for congestive heart failure patients is also provided. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Communications in Statistics: Theory and Methods Taylor & Francis

Partitioning with Respect to a Control: Unequal Sample Sizes Case

11 pages

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References (11)

Publisher
Taylor & Francis
Copyright
Copyright Taylor & Francis Group, LLC
ISSN
1532-415X
eISSN
0361-0926
DOI
10.1080/03610920802040423
Publisher site
See Article on Publisher Site

Abstract

This article describes a method for partitioning with respect to a control for the situation in which the treatment sample sizes are unequal and also for the situation where the treatment sample sizes are equal except for a few missing values. Calculation of the critical values required for finding confidence limits is discussed and tables are presented for the “almost equal” sample size case. An application of this method to length of stay data for congestive heart failure patients is also provided.

Journal

Communications in Statistics: Theory and MethodsTaylor & Francis

Published: Jul 8, 2008

Keywords: Missing values; Multiple comparisons; Unequal treatment samples; Primary 62J15; Secondary 62F07

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