Stephen Auger

Quantifying Individual Treatment Effects

In clinical practice, decisions about individual patient treatments often rely on population-level evidence and intuitive guesswork. This work introduces a framework to help clinicians move toward more quantitative, data-driven decisions tailored to the individual.

Outputs so far

• Interactive Web App

  This tool demonstrates how collecting different types of data impacts clinical insight. It illustrates how this approach can inform better data collection practices, potentially yielding greater understanding from less data, while also highlighting important limitations and considerations.

• Paper

  The methodology, framework, and some initial findings are explained in full detail in our paper published in Brain.

• Open-Source Code

  The complete code for this paper is available on GitHub.

Next Steps

I am now expanding this framework to validate new methods beyond those in the initial paper, assessing them in greater depth and applying them to a broader range of clinical scenarios.