Efficiency of experimental designs for comparing two treatments with correlated binary responses

2001 ◽  
Vol 99 (2) ◽  
pp. 151-173
Author(s):  
R.T. Smythe ◽  
M.G. Bickis ◽  
D. Krewski ◽  
K.Y. Fung
Keyword(s):  
Experimental Designs ◽  
Binary Responses ◽  
Correlated Binary Responses

Estimators and D-optimal experimental designs for mixtures of binary responses

2019 ◽  
pp. 1-15
Author(s):  
Jesús López-Fidalgo ◽  
Raúl Martín-Martín ◽  
Mercedes Rodríguez-Hernández
Keyword(s):  
Experimental Designs ◽  
Binary Responses

scholarly journals Markov counting models for correlated binary responses

Biostatistics ◽  
2015 ◽  
Vol 16 (3) ◽  
pp. 427-440 ◽  
Author(s):  
Forrest W. Crawford ◽  
Daniel Zelterman
Keyword(s):  
Binary Responses ◽  
Correlated Binary Responses

scholarly journals GEE Analysis of negatively correlated binary responses: a caution

2000 ◽  
Vol 19 (5) ◽  
pp. 715-722 ◽  
Author(s):  
James A. Hanley ◽  
Abdissa Negassa ◽  
Michael D. deB. Edwardes
Keyword(s):  
Binary Responses ◽  
Correlated Binary Responses

Longitudinal Analysis of Data with Multiple Binary Category Choices

2003 ◽  
Vol 93 (1) ◽  
pp. 127-131 ◽  
Author(s):  
Kenneth J. Berry ◽  
Paul W. Mielke
Keyword(s):  
Longitudinal Analysis ◽  
Null Hypothesis ◽  
Experimental Designs ◽  
Multiple Response ◽  
Binary Responses ◽  
Permutation Methods

In many experiments, subjects mark all categories that apply when responding to a cafeteria or multiple-response question. One exact and two approximate permutation methods are described to analyze binary answers to multiple-response questions in longitudinal experimental designs, wherein the same or matched subjects respond to the same multiple-response question over two or more trials. The described methods provide probabilities, under the null hypothesis, that the multiple binary responses do not differ over trials.

Sign in / Sign up

Export Citation Format

Share Document