VA_01_460x337.jpg

Veranstaltung

05.09.2018 bis 05.09.2018

BEMC Talk, 5.9.2018: Covariate selection in observational studies with limited knowledge of the true causal structure

Zurück zur Übersicht

Sie befinden sich hier:

Fach- und Laienpublikum

Prof Dr. Sebastian Baumeister, Regensburg

BEMC-Talk
BEMC-Talk

Sebastian Baumeister from Regensburg University will talk about Covariate selection in observational studies with limited knowledge of the true causal structure.

Unconfoundedness is assumed to generate an unbiased estimate of a causal effect on an outcome. If there is sufficient knowledge on the underlying causal structure, established covariate selection criteria based on a causal directed acyclic graph (DAG) can be used to select subsets of observed pretreatment covariates. However, although variable selection approaches should be based on an understanding of the causal structure representing the common cause pathways between treatment and outcome, the true causal structure is rarely known. When knowledge of the causal structure is not sufficient for use of a DAG, alternative covariate selection strategies are needed. Common suggestions when the causal structure is only partially known include “all observed pretreatment covariates” (Rubin) or the “disjunctive cause criterion” (VanderWeele & Shpister). Data-driven procedures for selection of covariates have also been proposed (e.g., change-in-MSE, focused selection, CovSel). Defining subsets of covariates that are sufficient to control for confounding empirically is difficult in the absence of background knowledge on the causal data-generating mechanism because adjustment for covariates that are affected by the exposure or the outcome and adjustment for instruments can increase bias.

Organisatorisches

Referenten:

Prof Dr. Sebastian Baumeister, University of Regensburg

Veranstalter:

Berlin Epidemiological Methods Colloquium

Zeit:

16.00 Uhr

Ort:

Seminar room of the Neurology Clinic; Bonhoefferweg 3 entrance, 3rd floor, CharitéCampus Mitte

Links

Register:

Website BEMC

Kontakt


Zurück zur Übersicht