Study Designs Commonly Used in Clinical Research
This workshop is designed for the investigator needing assistance in determining the design of a research study. Participants will learn the fundamental concepts of a variety of study designs used in research studies, as well as the strengths and weaknesses of the designs. Participants explore the different randomization techniques and when it's best to use each. Originally released July 1, 2012; renewed May 6, 2013; credit expires Dec. 31, 2016.
Watch the Video Lecture Here.
Mayo Clinic College of Medicine is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.
Mayo Clinic College of Medicine designates this enduring material for a maximum of 1.0 AMA PRA Category 1 Credits™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
Upon conclusion of this program, participants should be able to:
- Identify various study designs
- Describe strengths and weaknesses of the designs
- Discuss various techniques for randomization
Attendance at this Mayo course does not indicate nor guarantee competence or proficiency in the performance of any procedures which may be discussed or taught in this course.
Rickey E. Carter, Ph.D., is the Section Head of Clinical Statistics in the Division of Biomedical Statistics and Informatics and he also assumes the role of Director of Biostatistics in the CCaTS. Dr. Carter came to Mayo from the Medical University of South Carolina (MUSC) where he was a tenure-track faculty member in the Department of Biostatistics, Bioinformatics and Epidemiology (DBBE). Dr. Carter received his B.S. in Mathematics from Winthrop University in 1997 and a Ph.D. in Biostatistics from MUSC in 2002. From 2000-2003, Dr. Carter was the Assistant Director and then Director, Information Systems, of the MUSC Clinical Innovation Group and was most recently the Associate Director of the MUSC Collaborative Unit in the Department of Biostatistics, Bioinformatics, and Epidemiology.
Dr. Carter has broad experience working with a wide spectrum of investigators (clinical and basic), and has a history of building strong relationships through these interactions.
View the disclosure summary.
- 1.00 AMA PRA Category 1 Credit™