  Despite the recent progress in the field of causal inference, to date there
is no agreed upon methodology to glean treatment effect estimation from
observational data. The consequence on clinical practice is that, when lacking
results from a randomized trial, medical personnel is left without guidance on
what seems to be effective in a real-world scenario. This article proposes a
pragmatic methodology to obtain preliminary but robust estimation of treatment
effect from observational studies, to provide front-line clinicians with a
degree of confidence in their treatment strategy. Our study design is applied
to an open problem, the estimation of treatment effect of the proning maneuver
on COVID-19 Intensive Care patients.
