Abstract zum Vortrag von Dr. Angelika Stefan

Interim Design Analyses: Can re-evaluating sampling plans improve study designs?

The scientific relevance of rigorous study designs has often been compared to the importance of architectural plans. Without a proper plan, a building may collapse. Without rigorous research design, a study may not withstand scientific scrutiny. However, unlike architects, researchers rarely re-evaluate their designs after the start of a study. In this talk, I want to outline a framework for intermediate design analyses that capitalizes on the advantages of the Bayesian statistical approach, and allows researchers to re-adjust their sample sizes based on information gathered over the course of a study. Using two examples, I will discuss how sequential sampling methods and interim design analyses can increase the informativeness and efficiency of study designs in practice.

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