April 6 finish case replacement framework special topics, change of AERA workshop date to May 19

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Ken Frank

Apr 5, 2020, 7:54:09 PM4/5/20
to KonFound-it!

Hope you are staying safe n' sane.

The American Education Research Association workshop was moved from April 17 to May 19 1pm-5pm eastern.  This will be a full 4 hour virtual workshop.  Details to follow.

Tomorrow, April 6 I will finish the case replacement approach. 

Where: https://msu.zoom.us/j/783760435

What: course lectures: "What Would it take to Change your Inference?"

            Materials: powerpoint for combined frameworks 3 hoursslides 8-80

What Would it take to Change your Inference?


Statistical inferences are often challenged because of uncontrolled bias.  There may be bias due to uncontrolled confounding variables or non-random selection into a sample.  We will answer the question about what it would take to change an inference by formalizing the sources of bias and quantifying the discourse about causal inferences in terms of those sources.  For example, we will transform challenges such as “But the inference of a treatment effect might not be valid because of pre-existing differences between the treatment groups” to questions such as “How much bias must there have been due to uncontrolled pre-existing differences to make the inference invalid?”


In part I we will use Rubin’s causal model to interpret how much bias there must be to invalidate an inference in terms of replacing observed cases with counterfactual cases or cases from an unsampled population. This generates statements such as “One would have to replace qqq% of the cases with cases with no effect to invalidate the inference.” In part II, we will quantify the robustness of causal inferences in terms of correlations associated with unobserved variables or in unsampled populations. This generates statements such as “An omitted variable would have to be correlated at rrr with the treatment and outcome to invalidate the inference.” Calculations for bivariate and multivariate analysis will be presented using an app: http://konfound-it.com as well as macros in STATA and R and a spreadsheet for calculating indices [KonFound-it!].



The format will be a mixture of presentation, individual exploration, and group work. Participants may include graduate students and professors, although all must be comfortable with basic regression and multiple regression. Participants should bring their own laptop, or be willing to work with another student who has a laptop. Participants may choose to bring to the course an example of an inference from a published study or their own work, as well as data analyses they are currently conducting.



All related materials can be found at: https://msu.edu/~kenfrank/research.htm#causal



To participate on zoom you will click on https://msu.zoom.us/j/783760435

Phone: One tap mobile
+16468769923,,783760435# US (New York)
+16699006833,,783760435# US (San Jose)

Dial by your location
        +1 646 876 9923 US (New York)
        +1 669 900 6833 US (San Jose)
Meeting ID: 783 760 435

Please do not engage zoom more than a few minutes before our meeting as I may be in another Zoom meeting.  Thanks






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