Bayesian Sequential Designs in Studies with Multilevel Data
When: Jun. 30th, 2026 10:00 am - 11:00 am
Learning Level: Intermediate
To Know
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.