Basics of Statistics
Many research studies involve the use of quantitative statistical tests. Researchers who understand how statistical tests work — including what they can and cannot do — will be better poised to critically review medical literature and design and execute studies. Originally released July 1, 2012; renewed May 6, 2013; credit expires Dec. 31, 2017.
Watch the Video Lecture Here.
Upon conclusion of this program, participants should be able to:
- Differentiate between statistical significance and clinical relevance
- Utilize confidence intervals and p-values to assess statistical significance
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.
In support of improving patient care, Mayo Clinic College of Medicine and Science is accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC) to provide continuing education for the healthcare team.
Mayo Clinic College of Medicine and Science designates this journal activity for a maximum of 1.00 AMA PRA Category 1 Credits™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
Other Health Care Professionals
A certificate of attendance will be provided to other health care professionals for requesting credits in accordance with state nursing boards, specialty societies, or other professional associations.
For disclosure information regarding Mayo Clinic School of Continuous Professional Development accreditation review committee member(s), please go here.
- 1.00 AMA PRA Category 1 Credit™