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Model-free tests of equality in binary data under an incomplete block design.
Lui, Kung-Jong; Zhu, Lixia.
Afiliação
  • Lui KJ; a Department of Mathematics and Statistics , College of Sciences, San Diego State University , San Diego , CA , USA.
  • Zhu L; a Department of Mathematics and Statistics , College of Sciences, San Diego State University , San Diego , CA , USA.
J Biopharm Stat ; 28(6): 1160-1168, 2018.
Article em En | MEDLINE | ID: mdl-29452049
ABSTRACT
Using Prescott's model-free approach, we develop an asymptotic procedure and an exact procedure for testing equality between treatments with binary responses under an incomplete block crossover design. We employ Monte Carlo simulation and note that these test procedures can not only perform well in small-sample cases but also outperform the corresponding test procedures accounting for only patients with discordant responses published elsewhere. We use the data taken as a part of the crossover trial comparing two different doses of an analgesic with placebo for the relief of primary dysmenorrhea to illustrate the use of test procedures discussed here.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Projetos de Pesquisa / Ensaios Clínicos Controlados Aleatórios como Assunto / Bioestatística Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Projetos de Pesquisa / Ensaios Clínicos Controlados Aleatórios como Assunto / Bioestatística Idioma: En Ano de publicação: 2018 Tipo de documento: Article