most citedCoBWeb: a user-friendly web application to estimate causal treatment effects from observational data using multiple algorithms

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

stat.ME2021★ 2 cited

CoBWeb: a user-friendly web application to estimate causal treatment effects from observational data using multiple algorithms

Andreas Markoulidakis, Peter Holmans, Philip Pallmann +2

Background/aims: While randomized controlled trials are the gold standard for measuring causal effects, robust conclusions about causal relationships can be obtained using data fro…