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rtg

Project page for NSF grant "RTG: Understanding dynamic big data with complex structure"

Mark Fredrickson

Mark received his PhD in Statistics from the University of Illinois at Urbana-Champaign in 2018 (dissertation chairs: Yuguo Chen and Jake Bowers). Additionally, he holds an MA in Political Science, also from UIUC. Mark’s research interests include causal inference, networks, computational statistics, and social science applications. Recent projects include developing new tests of causal impacts of randomized treatments on networks (as pictured in the distribution below), fast approximations for estimating attributable effects in randomized trials, and improved estimators of average treatment effects for subgroups composed of individuals in cluster randomized trials. Mark maintains the RItools and optmatch packages for R, both available on CRAN.

Null distribution of test statistic applied to network under rerandomization