Comparison of Two Correlated Proportions: Bayesian and Frequentist Approaches
Telba Z. Irony, CDRH - FDA, Carlos A. B. Pereira, University of Sao Paulo, Brazil, Ram C. Tiwari, University of North Carolina
Suppose that a group of individuals is evaluated in order to assess the presence of a certain condition (present = yes, absent = no). After a treatment is administered, these individuals are evaluated again. The objective is to analyze whether or not there was a change - swing - in their state. Due to the longitudinal nature of data, only tests of hypothesis are usually performed - for instance the McNemar test. The estimation of the parameters of interest is usually more complicated. In this poster we suggest Bayesian solutions that make the estimation problem straightforward.