Applications of Extensions of Bivariate Rank Sum Statistics to the Crossover Design to Compare Two Treatments Through Four Sequence Groups

DOI10.1111/J.1541-0420.2008.01170.XzbMath1172.62050OpenAlexW2014556158WikidataQ48301340 ScholiaQ48301340MaRDI QIDQ3183250

Atsushi Kawaguchi, Ratna Ramaswamy, Gary G. Koch

Publication date: 19 October 2009

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1541-0420.2008.01170.x

zbMATH Keywords

homogeneitygoodness of fitdermatologyophthalmologyBalaam's designcontralateral and parallel designsnonparametric covariance adjustmentsystemic effect

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50)

Related Items (4)

Nonparametric testing under crossover design for ordered categorical response ⋮ Three‐period, two‐treatment crossover design under long‐term carryover effect ⋮ Nonparametric approaches for comparing three-period, two-treatment, four-sequence crossover designs ⋮ Nonparametric analysis of the two-period two-treatment crossover design

Cites Work

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• Nonparametric approaches to the analysis of crossover studies
• A linear model method for rank measures of association from longitudinal studies with fixed conditions (visits) for data collection and more than two groups
• NONPARAMETRIC ANALYSIS OF COVARIANCE FOR HYPOTHESIS TESTING WITH LOGRANK AND WILCOXON SCORES AND SURVIVAL-RATE ESTIMATION IN A RANDOMIZED CLINICAL TRIAL
• Extension of the Rank Sum Test for Clustered Data: Two‐Group Comparisons with Group Membership Defined at the Subunit Level

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