The use of propensity score methods has become ubiquitous in causal inference. At the
heart of these methods is the positivity assumption. Violation of the positivity assumption …

We employed the structural causal model's (SCM) backdoor adjustment criteria, with the do-
calculus intervention, which is deduced from a well-structured direct acyclic graph (DAG) to …

Background STROKE OWL is a quasi-experimental study using claims data from statutory
health insurances in Germany to calculate the effect of case managers for stroke. Since …

This paper proposes a novel propensity score weighting analysis. We define two sufficient
and necessary conditions for a function of the covariates to be the propensity score. The first …

Purpose To compare the performance (covariate balance, effective sample size [ESS]) of
stable balancing weights (SBW) versus propensity score weighting (PSW). Two applied …

In this paper, I try to tame" Basu's elephants"(data with extreme selection on observables). I
propose new practical large-sample and finite-sample methods for estimating and inferring …