On the use of the generalized t and generalized rank-sum statistics in medical research.

Abstract:

:We have used Monte Carlo methods to compare the type I error properties of the conditional and unconditional versions of the generalized t and the generalized rank-sum tests to those of the independent samples t and Wilcoxon rank-sum tests. Results showed inflated type I errors for the conditional generalized tests but not for the unconditional tests. We also compared the power of the unconditional generalized tests to that of the t and Wilcoxon tests under a variety of conditions. Results showed the generalized tests to be much more efficient than their traditional counterparts in some circumstances, but substantially less powerful in others. Based on these and other considerations, we conclude that the application of these newer statistics in medical research needs further consideration.

journal_name

Stat Med

journal_title

Statistics in medicine

authors

Blair RC,Morel JG

doi

10.1002/sim.4780110410

subject

Has Abstract

pub_date

1992-02-28 00:00:00

pages

491-501; discussion 503-9

issue

4

eissn

0277-6715

issn

1097-0258

journal_volume

11

pub_type

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