What are Model Estimated Controls?
Model estimated controls (MECs) are statistical models that can be used to assess the efficacy of new therapies without needing to use clinical trials.
MECs can act as counterfactual evidence (a way to predict ‘what if?’)- i.e., how would patients respond if they had received a different treatment?
Methods
Get Details on Personalised Synthetic Controls. Learn how they are developed and how they work, including likelihood definitions and Bayesian Estimation procedures
Software
Explore the packages developed to use Personalised Synthetic Controls and learn how they are used
Causal Inference
Personalised Synthetic Controls can be a tools for causal inference - find out what makes them causal and what assumptions are required!