Abstract Real-world evidence (RWE), the understanding of treatment effectiveness in clinical
practice generated from longitudinal patient-level data from the routine operation of the …

Background Decision makers in health care increasingly rely on nonrandomized database
analyses to assess the effectiveness, safety, and value of medical products. Health care data …

Background Propensity score adjustment is a popular approach for confounding control in
observational studies. Reliable frameworks are needed to determine relative propensity …

Background There have been conflicting results from observational studies regarding the
risk of psychiatric adverse events (PAEs) with montelukast use. Objective To determine …

Purpose To examine and compare risks of serious hypoglycemia among antidiabetic
monotherapy‐treated adults receiving metformin, a sulfonylurea, a meglitinide, or a …

Abstract The cyclooxygenase-2 (COX-2) is a key enzyme in the synthesis of prostaglandins,
its inhibitors are effective for the treatment of inflammation. In this study, an analytical method …

Purpose The high‐dimensional propensity score (HDPS) is a semi‐automated procedure for
confounder identification, prioritisation and adjustment in large healthcare databases that …

Several pharmacoepidemiology networks have been developed over the past decade that
use a distributed approach, implementing the same analysis at multiple data sites, to …

The tree-based scan statistic is a statistical data mining tool that has been used for signal
detection with a self-controlled design in vaccine safety studies. This disproportionality …

OBJECTIVE To examine the association between individual antidiabetic sulfonylureas and
outpatient-originating sudden cardiac arrest and ventricular arrhythmia (SCA/VA) …