= Tyler J. VanderWeele
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<Tyler J. VanderWeele> develops methods and foundations for <causal inference>. With <Ilya Shpitser>, he examined how to define a <confounder> so that the definition supports valid adjustment decisions.<On the definition of a confounder by Tyler J. VanderWeele and Ilya Shpitser>[Abstract and candidate definitions]{ref}
Their preferred definition concerns a pretreatment variable belonging to some minimally sufficient adjustment set. This connects the variable's role to elimination of <confounding>, rather than merely to prediction of exposure and outcome. The distinction matters because a predictive variable can be unsuitable for adjustment, and the contribution of one <covariate> depends on what else is adjusted for.<On the definition of a confounder by Tyler J. VanderWeele and Ilya Shpitser>[Definition4 and comparison of candidate properties]{ref}
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