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
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
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
In this capstone course, you will apply various data science skills and techniques that you have learned as part of the previous courses in the IBM Data Science with R or IBM Data Analytics with... more
Big data is transforming the health care industry relative to improving quality of care and reducing costs--key objectives for most organizations. Employers are desperately searching for... more
Este curso en línea brinda una introducción al análisis de datos para business intelligence. Aprenderás de herramientas y técnicas de estadística descriptiva e inferencial. Serás capaz de analiz... more