Estimation of the treatment effect under an incomplete block crossover design in binary data – A conditional likelihood approach

2015 ◽  
Vol 26 (5) ◽  
pp. 2197-2209 ◽  
Author(s):  
Kung-Jong Lui
2016 ◽  
Vol 27 (2) ◽  
pp. 579-592 ◽  
Author(s):  
Kung-Jong Lui ◽  
Kuang-Chao Chang

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.


2012 ◽  
Vol 31 (21) ◽  
pp. 2290-2302 ◽  
Author(s):  
Marta Avalos ◽  
Yves Grandvalet ◽  
Nuria Duran Adroher ◽  
Ludivine Orriols ◽  
Emmanuel Lagarde

2010 ◽  
Vol 29 (9) ◽  
pp. 1004-1013
Author(s):  
Mulugeta Gebregziabher ◽  
Paulo Guimaraes ◽  
Wendy Cozen ◽  
David V. Conti

2005 ◽  
Vol 47 (3) ◽  
pp. 286-298
Author(s):  
Ziv Shkedy ◽  
Veerle Vandersmissen ◽  
Geert Molenberghs ◽  
Hansfried Van Craenendonck ◽  
Nancy Aerts ◽  
...  

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