Program

In-person AND virtual! – We are pioneering a new conference format that will connect in-person and virtual audiences to create a unique experience. Matching the innovation that comes through our members’ work, ISPOR is pushing the boundaries of innovation to design an event that works in today’s quickly changing environment. 

In-person registration included the full virtual experience, and virtual-only attendees will be able to tune into live in-person sessions and/or watch captured in-person sessions on-demand in addition to having a variety of virtual-only sessions to attend.

Introduction to the Design & Database Analysis of Observational Studies of Treatment Effects Using Retrospective Data Sources

Speaker(s)

Faculty: Bradley C. Martin, PharmD, PhD, RPh, University of Arkansas for Medical Sciences College of Pharmacy, Little Rock, AR, USA

This Short Course requires an additional, separate registration fee. Visit the ISPOR 2022 registration page to sign up and learn more.

Retrospective studies require strong principles of epidemiologic study design and complex analytical methods to adjust for bias and confounding. This course will provide an overview of the structures of commonly encountered retrospective data sources with a focus on large administrative data, as well as highlight design and measurement issues investigators face when developing a protocol using retrospective observational data. Approaches to measure and control for patient mix, including patient comorbidity and the use of restriction and stratification, will be presented. Linear multivariable regression, logistic regression, and propensity scoring analytic techniques will be presented and include examples using SAS code that can later be used by participants. This course is an introductory course designed to prepare participants to take intermediate and advanced observational research courses.

***Registrants will receive a digital course book. Copyright, Trademark and Confidentiality Policies apply.***

Code

003