A deterministic balancing score algorithm to avoid common pitfalls of propensity score matching
Felix Bestehorn,
Maike Bestehorn,
Markus Bestehorn
et al.
Abstract: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 major drawbacks and illustrate these findings using a case study with 17, 427 patients. We derive four formal properties an optimal statistical matching algorithm should meet, and propose Deterministic Balancing Score exact Matching (DBSeM) which meets the aforementioned properties for an exact matching. Furthermore, we investigate … Show more
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