Exact analysis for paired binary data.
This paper provides an efficient algorithm to generate exact distributions for the bivariate logistic model with common and sub-unit-specific covariates. The algorithm can be used to analyze correlated paired binary response data from studies lacking a large sample size. Possible applications include a clinical trial with two distinct binary outcomes, a binary outcome cross-over or two-time point cohort study, and a pair-matched prospective study with binary outcome. Analysis of data from an ophthalmologic study is provided to illustrate the method. Extension to three or more correlated binary responses is also outlined.
Hirji
K F
KF
Department of Biomathematics, UCLA School of Medicine 90024-1766.
D000328:Adult; D000367:Age Factors; D000465:Algorithms; D000704:Analysis of Variance; D001699:Biometry / Q000379:methods*; D006801:Humans; D008433:Mathematics; D008875:Middle Aged; D015233:Models, Statistical; D012174:Retinitis Pigmentosa / Q000503:physiopathology