Akademik Veri Yönetim Sistemi
ENAR Spring Meeting 2023, Tennessee, Amerika Birleşik Devletleri, 19 - 23 Mart 2023, ss.5-6
Benchmark dose (BMD) analysis is a statistical procedure for estimating an exposure level that is associated with a specified increased risk of an adverse health outcome. We consider the challenge of BMD analysis in the context of a study aiming to relate patterns of drinking behavior in expectant mothers
(e.g., proportion of days spent drinking, and the amount of alcohol consumed/drinking day) to childhood cognition. We propose a flexible framework for BMD analysis that allows a more nuanced assessment of risks associated with multi-dimensional exposure variables. The method entails fitting a generalized additive model (GAM) for the effect of the exposures on cognition while adjusting for potential confounders via suitable propensity scores to flexibly estimate the dose-response surface. From this model we obtain a benchmark dose contour that relates the two continuous exposure variables to an outcome. We illustrate our method using data assembled from six U.S. cohort studies that measured maternal reports of alcohol use during pregnancy, and measurements of cognitive function in their offspring.