We will be using different methods to evaluate the results of a randomized control trial (RCT).
We will learn:
- How to analyze data from a randomized control trial using traditional statistical methods and the more recent machine learning techniques
- Interpreting Multivariate Models by Quantifying treatment effect, Calculating baseline risk, and Calculating predicted risk reduction
- Evaluating Treatment Effect Models by comparing predicted and empirical risk reductions and computing C-statistic-for-benefit
- Interpreting ML models for Treatment Effect Estimation by implementing T-learner