© 1971 by Biometrika Trust
The analysis of matched proportions
University of Cambridge
The analysis of the difference between two treatments is discussed, the available data being the dichotomous responses to each of the two treatments by individuals matched in pairs. The model used in a Bayesian analysis is compared with the logistic model suggested by Cox (1958), and with a random effects model. A model which assumes the positive association of responses of matched individuals is considered. Finally, some of these methods are extended to the case when the order of application of the two treatments may matter.
Key Words: Matched proportions Two-by-two contingency tables Bayesian analysis Logistic model for binary data Quantal data
![]()
CiteULike
Connotea
Del.icio.us What's this?
This article has been cited by other articles:
![]() |
M. Kenward and B. Jones The analysis of binary and categorical data from crossover trials Statistical Methods in Medical Research, December 1, 1994; 3(4): 325 - 344. [Abstract] [PDF] |
||||
![]() |
A. P Grieve Bayesian analyses of two-treatment crossover studies Statistical Methods in Medical Research, December 1, 1994; 3(4): 407 - 429. [Abstract] [PDF] |
||||
