Evaluating statistical approaches to leverage large clinical datasets for uncovering therapeutic and adverse medication effects.

ABSTRACT:

Motivation

Phenome-wide association studies (PheWAS) have been used to discover many genotype-phenotype relationships and have the potential to identify therapeutic and adverse drug outcomes using longitudinal data within electronic health records (EHRs). However, the statistical methods for PheWAS applied to longitudinal EHR medication data have not been established.

Results

In this study, we developed methods to address two challenges faced with reuse of EHR for this purpose: confounding by indication, and low exposure and event rates. We used Monte Carlo simulation to assess propensity score (PS) methods, focusing on two of the most commonly used methods, PS matching and PS adjustment, to address confounding by indication. We also compared two logistic regression approach

SUBMITTER: Choi L 

PROVIDER: S-EPMC6129383 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature