Date(s) - 11/12/2020 - 11/14/2020
This course offers an in-depth survey of a family of techniques known as treatment-effects estimators. Treatment-effects analysis is a quasi-experimental technique for estimating causal effects from observational data using the potential outcomes or counterfactual framework. These techniques — which include propensity-score matching, inverse probability weighting, and “doubly-robust” estimators — are now widely used in the social sciences, health sciences, and public policy.
Starting November 12, Statistical Horizons are offering this seminar as a 3-day synchronous*, remote workshop for the first time. Each day will consist of a 4-hour live lecture held via the free video-conferencing software Zoom. You are encouraged to join the lecture live, but will have the opportunity to view the recorded session later in the day if you are unable to attend at the scheduled time.
This course runs from Thursday, November 12, 2020 – Saturday, November 14, 2020.
Each day will follow this schedule:
10:00am-2:00pm ET: Live lecture via Zoom
3:00pm-4:00pm ET: Live “office hour” via Zoom (Thursday and Friday only)
The fee of $795 includes all course materials.
PayPal and all major credit cards are accepted.
For more information, visit this page.