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Stata workshop at SER 2018 Annual Meeting

Title: Regression Models For Selection Bias, Nonrandom Exposure, and Unobserved Confounding Using Stata
Presenter: Chuck Huber, PhD, Senior Statistician, StataCorp
Where: SER 2018 Annual Meeting
Date: Tuesday, June 19, 2018
Time: 5:30 –7:30 p.m.
Abstract: Observational data often have issues that present challenges for the data analyst. Data are sometimes missing not at random (MNAR), which can lead to sample selection bias. The exposure of interest or treatment status is often not assigned randomly. And many statistical models for these data must account for unobserved confounding.

This talk will demonstrate how to use standard maximum-likelihood estimation to fit extended regression models (ERMs) that deal with all these common issues alone or simultaneously.

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