Multiple Hypotheses in the Analysis of a Crossover Trial

Yi Hao and John Kolassa ()
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Yi Hao: Rutgers U. Department of Statistics and Biostatistics
John Kolassa: Rutgers U. Department of Statistics and Biostatistics

Statistics in Biosciences, 2016, vol. 8, issue 2, No 5, 253-263

Abstract: Abstract Crossover trials are used in a variety of fields, such as medicine, biology, psychology, and some commercial goods investigations. The aim of this paper is to extend a methodology for multiple comparisons to the problem of testing in crossover trials with two treatments. These two treatments are given in two orderings, treatment A first or treatment B first. We perform inference on the effect of one treatment relative to the effect of the other, without assuming that these effects are independent of treatment ordering, using techniques from order-restricted inference and multiple comparisons, and compare to some existing multiple comparison tests.

Keywords: Crossover trial; PTSD; Intersection–union test (IUT); Order-restricted inference; Likelihood ratio test (LRT); t distribution; t test; F test (search for similar items in EconPapers)
Date: 2016
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DOI: 10.1007/s12561-016-9142-3

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