Olkin-Tsiatis Model

The Olkin-Tsiatis model is a statistical framework used to analyze data involving multiple endpoints or outcomes simultaneously, often in clinical trials. It combines information from different measures—such as treatment effects measured at various times or on different scales—by assigning weights and projecting them into a unified analysis. This approach allows for more efficient and precise assessments of treatment effects, especially when outcomes are correlated. Essentially, it helps researchers interpret complex data by integrating multiple related results into a cohesive, informative conclusion.