Using nationally representative survey data for external adjustment of unmeasured confounders: An example using the NHANES data.

ABSTRACT:

Purpose

To evaluate the use of data from population-based surveys such as the National Health and Nutrition Examination Survey (NHANES) for external adjustment for confounders imperfectly measured in health care databases in the United States.

Methods

Our example study used Medicaid Analytic eXtract (MAX) data to estimate the relative risk (RR) for prenatal serotonin-norepinephrine reuptake inhibitors (SNRIs) exposure and cardiac defects. Smoking and obesity are known confounders poorly captured in databases. NHANES collects information on lifestyle factors, depression, and prescription medications. External adjustment requires information on the prevalence of confounders and their association with SNRI use; which was obtained from the NHANES. It also requires estimates of t

SUBMITTER: Hernandez-Diaz S 

PROVIDER: S-EPMC8900668 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature