Propensity Score

The Propensity Score method builds a logistic regression model that can predict the probability of a person being given the treatment. It is denoted by p(x)

$$p(x)=P(T=1|X=x)$$

There are multiple sub-methods for Propensity scores:

1. Propensity based stratification

2. Propensity score matching

3. Inverse Propensity Weighting