Agenda

Session 1: Introduction

Background and Objectives
E. Eworuke, S. Pinheiro
Food and Drug Administration (FDA)

Session 2: Creative Methods to Improve Confounding Information
Theme 1: Supplementing data with surveys and linkages

Use of External Information to Evaluate Comparability of Cohorts: Kaiser Database, CMS Beneficiary Surveys
D. Graham
FDA

Data Linkages to Obtain Information on Driving Conditions in a Study Evaluating Exposure to ADHD Medications and Motor-Vehicle Accidents
A. Winterstein
University of Florida

Use of Surrogate Measures: Striking a Balance Between Information Added and Introduction of Measurement Error
This presentation discusses linking aggregate data on confounders from external sources to existing cohorts extending the concept of administrative databases.
J. Major
FDA

Working in Setting of Limited Resources: 2-phase Design to Improve Efficiency of Sampling
S. Dublin
GHRI

Looking Ahead, Uing Mobile Devices to Enhance Information on EHR
W. Riley
NIH

Session 2: Creative Methods to Improve Confounding Information (continued)
Theme 2: Making Greater Use of the Data at Hand

Strategies to Address Unmeasured and Residual Confounding in the VA database
F. Cunningham
Veterans Affairs

The Role of Study Design to Reduce the Potential for Confounding
T. Sturmer
University of North Carolina

Implications of and Solutions for Covariate Measurement Error and Differential Covariate Measurement Across Treatment Groups
E. Stuart
The Johns Hopkins University

Improving the Reliability, Transparency, and Reproducibility of Database Research without Transmitting Patient-level Databases
S. Schneeweiss
HMS