Bootstrap unconditional P-Values for the Sign Test with Ties and the 2
2 Matched-Pairs Trial
Author:
Brett Presnell -
a
| Affiliation: | a Department of Statistics, University of Florida, |
DOI:
10.1080/10485259608832688
Publication Frequency:
8 issues per year
Subjects:
Mathematical Economics;
Mathematical Finance;
Medical Statistics;
Statistical Theory & Methods;
Statistics;
Statistics for the Biological Sciences;
Stochastic Models & Processes;
Formats available:
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Abstract
The use of approximate unconditional P-values is examined in the sign test with ties and the 2
2 matched-pairs trial. These P-values are calculated using a simple bootstrap plug-in rule, which requires no Monte Carlo and can be iterated an arbitrary number of times. Certain of these P-values yield corresponding tests of hypotheses which are very nearly exact and have considerably higher unconditional power than the usual exact conditional test. They can also be expected to have higher power than competing exact unconditional tests and are easier to compute.
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| Keywords: Sign test; McNemar's test; iterated bootstrap; exact test; unconditional inference |
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2 matched-pairs trial. These P-values are calculated using a simple bootstrap plug-in rule, which requires no Monte Carlo and can be iterated an arbitrary number of times. Certain of these P-values yield corresponding tests of hypotheses which are very nearly exact and have considerably higher unconditional power than the usual exact conditional test. They can also be expected to have higher power than competing exact unconditional tests and are easier to compute.
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