Modeling who dropped out of the GSS panel with logistic regression and machine learning, then testing which attrition weights actually remove the bias.
A rebuild of a landmark randomized study of health insurance (NEJM, 2013) in Python and R, plus a check of how well its evidence supports its headline claims.
