27 January 2021 - 28 January 2021
Introduction To The Design & Analysis of Observational Studies of Treatment Effects Using Retrospective Data Sources
TRACK: Study Approaches
LEVEL: Intermediate
LENGTH: 4 Hours | Course runs 2 consecutive days, 2 hours/day
Wednesday, 27 January | 2 Hours of content
10:00AM-12:00PM Eastern Standard Time (EST)
3:00PM-5:00PM Greenwich Mean Time (GMT)
4:00PM-6:00PM Central European Time (CET)
Thursday, 28 January | 2 Hours of content
10:00AM-12:00PM Eastern Standard Time (EST)
3:00PM-5:00PM Greenwich Mean Time (GMT)
4:00PM-6:00PM Central European Time (CET)
DAILY SCHEDULE:
2 consecutive days, 2 hours per day
Click for time zone conversion
DESCRIPTION
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.
FACULTY MEMBERS
Bradley Martin, PharmD, PhD, RPh
Professor
University of Arkansas for Medical Sciences
Little Rock, AR, USA
Linus Jönsson, PhD, MD, MSc
Vice President
Medical Affairs & Clinical Development Centres
H. Lundbeck A/S
Valby, Denmark