Skip to main content

Multivariable Confounding Adjustment in Distributed Data Networks without Sharing of Patient-Level Data

Basic Details
Date
Type
Publication
Medical Product
aliskiren
angiotensin II receptor blocker (ARB)
angiotensin-converting enzyme (ACE) inhibitor
Health Outcome(s)
angioedema
Description

This article describes two approaches to conducting multivariable analyses for multi-site studies without sharing of patient-level data across sites: the case-centered logistic regression approach and the inverse variance-weighted meta-analysis approach.  The authors evaluate the above methods 1) by analyzing risks of angioedema associated with use of angiotensin-converting enzyme inhibitors, antiotensin II receptor blockers, and aliskiren, compared to use of beta-blockers in the Mini-Sentinel Distributed Database (MSDD), and 2) by performing simulations.