A tentative schedule of events for Addressing Inadequate Information on Important Health Factors in Pharmacoepidemiology Studies Relying on Healthcare Databases; Public Workshopis provided below for your convenience.

This one-day conference scheduled for Monday, May 4, 2015, will be held at the Food and Drug Administration's (FDA) White Oak Campus. It is open to the public. 

8:30–9 a.m. Opening Remarks
9 a.m.

Session 1: Introduction

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

Overview of Confounding
Fadia Shaya, PhD
University of Maryland School of Pharmacy 
9:45 a.m. Clarifying questions
10 a.m. Morning break
10:15 a.m.

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

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

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

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

11:30 a.m. Clarifying questions
Noon Lunch Break
1 p.m. Panel Discussions, Case Studies
2 p.m.

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

3 p.m. Clarifying questions
3:15 p.m. Afternoon break
3:45 p.m. Session 3: Panel Discussions
4:45 p.m. Wrap-up and Summary of Discussions
5 p.m. Meeting adjourns