title: Exact tests in binary data under an incomplete block crossover design.
abstract: To improve the power of a parallel groups design and reduce the time length of a crossover trial, we may consider an incomplete block crossover design. Under a distribution-free random effects logistic regression model, we derive an exact test and a Mantel-Haenszel Type of summary test procedure for testing non-equality in binary data when comparing three treatments. We employ Monte Carlo simulation to evaluate the performance of these test procedures. We find that both test procedures developed here can perform well in a variety of situations. We use the data taken as a part of the crossover trial comparing the low and high doses of an analgesic with a placebo for the relief of pain in primary dysmenorrhea to illustrate the use of the proposed test procedures.
authors.affiliation: 1 Department of Mathematics and Statistics, College of Sciences, San Diego State University, San Diego, California, USA.
authors.forename: Kung-Jong
authors.initials: KJ
authors.lastname: Lui
authors.affiliation: 2 Department of Statistics and Information Science, Fu-Jen Catholic University, New Taipei, Taiwan, ROC.
authors.forename: Kuang-Chao
authors.initials: KC
authors.lastname: Chang
mesh_terms: D000700:Analgesics / Q000008:administration & dosage; D056808:Biostatistics; D003198:Computer Simulation; D018592:Cross-Over Studies; D004412:Dysmenorrhea / Q000188:drug therapy; D005260:Female; D006801:Humans; D016015:Logistic Models; D015233:Models, Statistical; D009010:Monte Carlo Method; D016032:Randomized Controlled Trials as Topic / Q000706:statistics & numerical data*
chemical_list: D000700:Analgesics
keywords: Exact test; Mantel-Haenszel summary test; binary data; incomplete block; power; type I error