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pausalz.bsky.social
Paul Zivich, Assistant (to the Regional) Professor Computational epidemiologist, causal inference researcher, amateur mycologist, and open-source enthusiast. https://github.com/pzivich #epidemiology #statistics #python #episky #causalsky
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I had a great time talking today at Ohio State about M-estimators, so this 8/52 #MEstimatorMonday is a bit brief Let's continue with last week's and apply the Rogan-Gladen iteratively

"Selection bias: where are we now?" Incredibly excited to announce the next Causal Inference Interest Group seminar with @haidonglu.bsky.social will take place on 10th March 2025 at 3pm GMT (11am EDT). Don't miss this one! Register at: turing-uk.zoom.us/meeting/regi... #EpiSky #CausalSky #CIIG

smh we've had hypothesis generating machines for decades already www.jstor.org/stable/37022...

For 7/52 #MEstimatorMonday let's talk about correcting measurement error Here, I am going to think about correcting for measurement error using external data for sensitivity and specificity

If you have zero education, you would believe this nonsense

For 7/52 #MEstimatorMonday let's talk about correcting measurement error Here, I am going to think about correcting for measurement error using external data for sensitivity and specificity

6/52 of #MEstimatorMonday (ignore that I am finishing this on Tuesday) put together the two previous estimators into a doubly robust version

For 5/52 of #MEstimatorMonday we will see how we can also apply an IPW estimator. Again, we are going to focus on missing data for the variable Y As you may recall, IPW relies on modeling the missingness process (as opposed to the outcome process of Y). So, we are going to model R given X