Real‐world evidence used for regulatory, payer, and clinical decision‐making requires
principled epidemiology in design and analysis, applying methods to minimize confounding …

Importance Direct-acting oral anticoagulants (DOACs) are commonly prescribed with
antiseizure medications (ASMs) due to concurrency of and the association between atrial …

Transparency is increasingly promoted to instill trust in nonrandomized studies using real‐
world data. Graphics and data visualizations support transparency by aiding communication …

Purpose Prevalent new user (PNU) designs extend the active comparator new user design
by allowing for the inclusion of initiators of the study drug who were previously on a …

Abstract “The use of health care claims datasets often encounters criticism due to the
pervasive issues of omitted variables and inaccuracies or mis-measurements in available …

We recently developed a machine-learning subgrou** algorithm, iterative causal forest
(iCF), to identify subgroups with heterogeneous treatment effects (HTEs) using predefined …

The DEEP cohort is the first population-based cohort of pregnant population in China that
longitudinally documented drug uses throughout the pregnancy life course and adverse …

Large healthcare databases are increasingly used for research investigating the effects of
medications. However, a key challenge is capturing hard-to-measure concepts (often …

Objective To explore the ability of natural language processing (NLP) methods to identify
confounder information beyond what can be identified using claims codes alone for …

OBJECTIVE Patients with severe hypoglycemia (SH) or diabetic ketoacidosis (DKA)
experience high hospital readmission after being discharged. Cognitive impairment (CI) may …