statistical horizons course on sensitivity analysis March 8-10
Ken Frank
Sensitivity Analysis for Causal Inference
Wednesday, March 8 - Friday, March 10, 2023
A 3-day livestream seminar taught by Kenneth Frank, Ph.D.
To get more information and register, click here.
Controlling for the most likely explanations for an inferred effect is not foolproof, and observational data cannot rule out every possible explanation. Sensitivity analysis can be used to quantify the unobserved conditions that are necessary to change the inference.
In this seminar, you will learn how to quantify the sensitivity of an inference, using techniques that can be adapted to a range of analyses, including logistic regression, propensity-based approaches, and multilevel models.
In this seminar, you will:
- Apply and understand techniques for quantifying the robustness of causal inferences.
- Conduct sensitivity analyses in R or the on-line app http://konfound-it.com (Stata and Excel also available).
- Develop a deeper understanding of regression and the counterfactual as well as how threats to internal and external validity compare against the strength of evidence.
- Apply sensitivity analysis to a specific problem of interest that may require extensions or adaptations.
About your instructor
Kenneth Frank is MSU Foundation Professor of Sociometrics at Michigan State University. His work is widely cited across the social and natural sciences and has been published in many top journals.
How does it work?
This seminar includes live lectures, hands-on exercise assignments, and plenty of chances to ask questions. Although we recommend joining the seminar live, you can also watch the recorded Zoom sessions whenever it's convenient for you.
Daily Schedule: All sessions are held live via Zoom. All times are ET (New York time).
10:00am-12:30pm
1:30pm-3:30pm
Registration is now open.
If you have specific questions, just reply to this e-mail. If you can't attend yourself, please forward to a colleague.
Statistical Horizons LLC P.O. Box 282 Ardmore PA 19003 US