Define several types of observational studies, interpret their results, and describe how health registries can be used to make decisions about best clinical care.
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While randomized controlled trials are considered to be the "gold standard" in health research, they cannot always be performed, for ethical or practical reasons. Observational studies gather information from data that has already been collected, or by observing and measuring patients' changes in health status and their response to interventions outside of a clinical trial. In this course, you will learn to identify the characteristics of observational studies, to interpret the results of observational studies, and to describe the use of health registries in comparative effectiveness research (CER).This course includes the following 11 lectures:Overview of Using Observational Data in Comparative Effectiveness Research (CER)Cancer Registries and Data LinkageSEER-Medicare and Other Data SourcesOverview of Analytic Methods IOverview of Analytic Methods IILongitudinal Data AnalysisAdvanced Methods in CER IAdvanced Methods in CER IISurvival AnalysisAnalysis of Medical Cost Data in Observational StudiesHealthcare Policy ResearchThis course is intended for anyone interested in comparative effectiveness research (CER) and patient-centered outcomes research (PCOR) methods. This course is supported by grant number R25HS023214 from the Agency for Healthcare Research and Quality.
Difficulty Level
Introductory
Suitable for motivated learners
Subject Category
Data Analysis & Statistics, Health & Safety, Economics & Finance
Part of our Data Analysis & Statistics, Health & Safety, Economics & Finance curriculum
Course Language
English
All materials in English
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