Bayesian Sequential Designs in Studies with Multilevel Data
To Know
Where:
Online
Organizer:
NIH Office of Disease Prevention
Presented By:
Mirjam Moerbeek PhD (Utrecht University)
About this Class
In many studies in the social and behavioral sciences, the data have a multilevel structure, with subjects nested within clusters. In the design phase of such a study, the number of clusters to achieve a desired power level must be calculated. This requires a priori estimates of the effect size and intraclass correlation coefficient. If these estimates are incorrect, the study may be under- or overpowered. Bayesian sequential designs may be used to overcome this problem.