ISPOR Short Course: Intro To Design & Analysis of Observational Studies of Treatment Effects Using Retrospective Data Sources
January 21, 2021
Real-world observational studies require strong principles of epidemiologic study design and complex analytical methods to strengthen causal inferences. This course will provide an overview of the structures of commonly encountered observational data sources with a focus on large administrative data, as well as highlight design and measurement issues investigators face when developing a protocol using real-world data. Approaches to measure exposure, outcomes, and covariates that can control for patient mix, including patient comorbidity will be presented. An overview of design and analytic elements such as restriction, propensity matching, and traditional regression approaches will be explored. A hands-on exercise will allow participants to apply criteria to assess the quality of real-world evidence studies. This course is an introductory course designed to prepare participants to take intermediate and advanced observational research courses. Register here.
LEVEL – Introductory
TRACK – Study Approaches
LENGTH: 4 Hours | Course runs 2 consecutive days, 2 hours/day
Wednesday, 27 January | 2 hours of content
10:00-12:00 Eastern Standard Time (EST)
15:00-17:00 Greenwich Mean Time (GMT)
16:00-18:00 Central European Time (CET)
Thursday, 28 January | 2 hours of content
10:00-12:00 Eastern Standard Time (EST)
15:00-17:00 Greenwich Mean Time (GMT)
16:00-18:00 Central European Time (CET)
Basic Schedule:
Class Time: 2 hours daily
