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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.
Communications in Statistics: Theory and Methods – Taylor & Francis
Published: Jul 8, 2008
Keywords: Missing values; Multiple comparisons; Unequal treatment samples; Primary 62J15; Secondary 62F07
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