- Understanding of various clinical trial designs, specifically pragmatic clinical trials
- Ability to identify and apply different clinical trial designs and analyze their data
- Proficiency in statistical methods relevant to pragmatic trials
This course provides an in-depth look into pragmatic clinical trials and their complexities, covering essential aspects of clinical research design, approval processes, and data analysis. Experts in the field will guide learners through the critical decisions necessary when organizing clinical studies, including power and sample size calculations and advanced trial designs such as Bayesian and adaptive trials.
An introductory course on clinical trials (CERTaIN.1x) is recommended but not a compulsory prerequisite for this course. A basic understanding of clinical research terminologies and methodologies would be beneficial.
Researchers interested in expanding their knowledge on pragmatic clinical trials, comparative effectiveness research (CER), and patient-centered outcomes research (PCOR) will find this course especially beneficial.
Learners can apply the skills acquired from this course in various aspects of clinical research, from designing and handling the complexities of pragmatic trials to implementing advanced statistical methods for robust data analysis. These capabilities are essential for conducting scientifically sound and ethical research that can influence health policies and patient care practices.