Alexander P. Keil

TL;DR: In this paper, quantile g-computation is used to estimate the effect of exposure mixtures on public health actions that act on exposure sources, such as regulations on industrial emissions or mining processes, dietary changes, or consumer behavioral changes.

TL;DR: In this article, exposure mixtures frequently occur in data across many domains, particularly in the fields of environmental and nutritional epidemiology, and various strategies have arisen to answer questi...

TL;DR: In this paper, the authors explored associations between parental autoimmune disorders and children's diagnosis of autism by linking Swedish registries and estimated odds ratios (ORs) using multivariable conditional logistic regression.

TL;DR: This work presents a simple approach to implement the parametric g-formula that is sufficiently general to allow easy adaptation to many settings of public health relevance and illustrates its application in an analysis of a small cohort study of bone marrow transplant patients.

TL;DR: Investigators should consider sexual heterogeneity of confounder associations when choosing an analytic approach to estimate sex-specific effects of endocrine disruptors on health, and the augmented product term approach may be advantageous over stratification when there is prior knowledge available to fit reduced models or when investigators seek an automated test for effect measure modification.