Maximizing Power in RCTs: Accounting for Outcome Saturation

Randomized Controlled Trials (RCTs) are the cornerstone of drug development. The conclusions drawn from these trials are often based on calculations of outcomes assessed with finite scales. However, their interpretation can be compromised when the outcome measurements reach the limit of these scales. This “floor effect” can lead to the saturation of the measured outcomes and an underestimation of the treatment effect of the study medication.
In this webinar, Arthur Ooghe, Data Mining & Statistical Research Specialist, will discuss the impact of this saturation effect on study power and how to account for it when designing an RCT. Arthur Ooghe will guide you through the calculations and results of how the effective power drops with increasing saturation rates. He will discuss possible methods to reduce this effect during the design of a study, and account for its impact on results.

Register here to take the first step toward improving the significance of your RCTs.

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About Cognivia

Cognivia is an innovator of analytical tools to optimize and accelerate the clinical development of new medicines by tackling some of the most challenging issues that prevent drugs from reaching the marketplace. Cognivia helps lessen risk and increase clinical trial success. It can help reduce the variability of study data by 30 percent, which directly translates into increased study power and reduced risk of trial failure. This can further lead to fewer patients needed in a study, equating to less cost and time.


The company offers Placebell, a solution that improved clinical trial assay sensitivity by characterizing and managing the individual placebo response in a variety of disease states where the placebo effect masks the true efficacy of potentially important therapies.