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stat.AP2021
A deterministic matching method for exact matchings to compare the outcome of different interventions
Felix Bestehorn, Maike Bestehorn, Christian Kirches
Statistical matching methods are widely used in the social and health sciences to estimate causal effects using observational data. Often the objective is to find comparable groups…
stat.AP2018★ 2 cited
A deterministic balancing score algorithm to avoid common pitfalls of propensity score matching
Felix Bestehorn, Maike Bestehorn, Markus Bestehorn +1
Propensity score matching (PSM) is the de-facto standard for estimating causal effects in observational studies. We show that PSM and its implementations are susceptible to several…