Recent years have seen several important developments in methods for confounding control in pharmacoepidemiology. Most of these methods are based on the propensity score.
This course will review the foundations of the propensity score, the high-dimensional propensity score and inverse probability weighting, and the disease risk score.
We will review other uses of the propensity score (e.g., for model diagnostics and for identification of eligible populations).
Machine learning methods will be discussed.
Worked examples using SAS and R will be discussed.
The Short Course “Modern statistical methods using the propensity score” will be held on March 25th, 2025, at the University of Florence - Department of Statistics, Computer Science, Applications – viale G.B. Morgagni 59, Firenze (Italy), room 205.
Ultimo aggiornamento
18.03.2025