= Kari Lock Morgan
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<Kari Lock Morgan> studies the design of <randomized experiments>, especially how to improve baseline <covariate balance>. Her work on <restricted randomization> specifies acceptable balance before an experiment and redraws allocations that fail that criterion. Inference must account for the resulting assignment procedure.https://science.psu.edu/stat/event/sp20/ctsi-berd/forcing-covariate-balance-in-randomized-experiments[Authored seminar abstract, 17 March 2020]{ref}
With <Fan Li> and <Alan M. Zaslavsky>, she studied <propensity score> weighting for <observational studies>. For a logistic <propensity score> fitted by <maximum likelihood estimation> with an intercept, their <overlap weights> exactly balance weighted means of the included <covariates> under the stated fitting conditions.<Balancing Covariates via Propensity Score Weighting by Fan Li, Kari Lock Morgan and Alan M. Zaslavsky>[Section4.2, Theorem3]{ref}
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