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Sensitivity Analysis - Online Course

A 3-Day Livestream Seminar Taught by

Kenneth Frank
Course Dates:

Wednesday, March 8 –
Friday, March 10, 2023


10:00am-12:30pm (convert to your local time)

The phrase “But have you controlled for …” is fundamental to social science, but can also create a quandary. Even after controlling for the most likely alternative explanations for an inferred effect, there may be some alternative explanation(s) that cannot be ruled out with observed data.  Generally, the first response is to develop the best models that maximally leverage the available data. After that, sensitivity analyses can inform discourse about an inference by quantifying the unobserved conditions necessary to change the inference.

This course provides widely accessible ways, such as correlations or cases, to quantify the sensitivity of an inference. Specifically, in this course you will learn how to generate statements such as “An omitted variable would have to be correlated at         with the predictor of interest and with the outcome to change the inference.” Or “To invalidate the inference,     % of the data would have to be replaced with counterfactual cases for which the treatment had no effect.”

Rooted in the foundations of the general linear model and potential outcomes, these techniques can be adapted to a range of analyses, including logistic regression, propensity-based approaches, and multilevel models. As a result, they can broadly facilitate discourse among researchers who seek to make an inference, challengers of that inference, as well as policymakers and clinicians.

Starting March 8, we are offering this seminar as a 3-day synchronous*, livestream workshop held via the free video-conferencing software Zoom. Each day will consist of two lecture sessions which include hands-on exercises, separated by a 1-hour break. 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.

*We understand that finding time to participate in livestream courses can be difficult. If you prefer, you may take all or part of the course asynchronously. The video recordings will be made available within 24 hours of each session and will be accessible for four weeks after the seminar, meaning that you will get all of the class content and discussions even if you cannot participate synchronously. 

Closed captioning is available for all live and recorded sessions.

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