CERTaIN: Observational Studies and Registries
About this Course
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 Linkage SEER-Medicare and Other Data Sources Overview of Analytic Methods I Overview of Analytic Methods II Longitudinal Data Analysis Advanced Methods in CER I Advanced Methods in CER II Survival Analysis Analysis of Medical Cost Data in Observational Studies Healthcare Policy Research This 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.Created by: The University of Texas MD Anderson Cancer Center in Houston
Level: Introductory

Related Online Courses
R es un lenguaje de programación de código abierto orientado a objetos con fundamentos estadísticos, que permite realizar tratamientos muy potentes con muy pocas líneas de código. La mayoría de su... more
Students learn to construct a wide variety of SQL statements – from beginning to more advanced concepts – such as joins, common table expressions, window functions, etc. Students also learn the bas... more
The R programming language is purpose-built for data analysis. R is the key that opens the door between the problems you want to solve with data and the answers you need to meet your objectives.... more
Use Tableau to explore data and discover insights to innovate data-driven decision-making. Employer demand for Tableau skills will grow 35% over the next 10 years. Whether you are in a... more
Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in thi... more