1991
DOI: 10.2307/2532163
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Two Guidelines for Bootstrap Hypothesis Testing

Abstract: JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact support@jstor.org.. International Biometric Society is collaborating with JSTOR to digitize, preserve and extend access to Biometrics. SUMMARY Two guidelines for nonparametric bootstrap hypothesi… Show more

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Cited by 410 publications
(273 citation statements)
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“…It is possible to estimate standard errors for the prevalence ratio and with these standard errors approximate a P value using the methods of Hall and Wilson. 46 However, at eight in each strata, the small number of clusters is generally not sufficient to guarantee the assumptions of this procedure. 45 Ethics.…”
Section: Methodsmentioning
confidence: 99%
“…It is possible to estimate standard errors for the prevalence ratio and with these standard errors approximate a P value using the methods of Hall and Wilson. 46 However, at eight in each strata, the small number of clusters is generally not sufficient to guarantee the assumptions of this procedure. 45 Ethics.…”
Section: Methodsmentioning
confidence: 99%
“…To statistically evaluate the effects of age and CR on gene expression levels, we conducted a multistep evaluation procedure. In the first step, we used nonparametric bootstrap hypothesis testing (26) to obtain a frequentist P value for each gene. Part of our reason for having five animals per group is that n ϭ 5 in a two-group comparison offers a sufficient number (Ͼ15,000) of unique bootstrap resamples.…”
Section: Methodsmentioning
confidence: 99%
“…This is important for ensuring that the bootstrap test of the hypothesis (1) has reasonable power against departures from symmetry (cf. Hall and Wilson (1991); Lehmann and Romano (2005, Section 15.6)). …”
Section: Sieve Bootstrap Inferencementioning
confidence: 99%