May 7, 2023
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Introduction to the Design & Database Analysis of Observational Studies of Treatment Effects Using Retrospective Data Sources
LEVEL: Introductory
TRACK: Study Approaches
LENGTH: 4 Hours | Course runs 1 day
This short course is offered in-person at the ISPOR 2023 conference.
Separate registration is required. Visit the ISPOR 2023 website to register and
learn more.
8:00AM-12:00PM Eastern Daylight Time (EDT)
DESCRIPTION
Retrospective studies require strong principles of epidemiologic study design and complex analytical methods to adjust for bias and confounding. This course provides 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, is presented. Linear multivariable regression, logistic regression, and propensity scoring analytic techniques are 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 receive a digital course book. Copyright, Trademark and Confidentiality Policies apply.
FACULTY MEMBERS
Basic Schedule:
4 Hours | Course runs 1 Day