Sample Size Matters
Could you have misconceptions about data visualization and statistical analysis that may affect the outcomes of your research? Misconceptions and problems with data visualization and statistical analysis are common in published studies. In this program, learners identify and correct misconceptions about data visualization and statistical analysis that are common in the basic biomedical sciences and other disciplines using small sample size studies.
What misconceptions do you have? Take a quiz to find out.
Sample Size Matters is an online program for graduate students and research professionals. Participants learn to apply the knowledge and skills gained to improve rigor, transparency and reproducibility in their own research.
- Anytime, anywhere learning
- Self-directed and self-paced
- Certificate of completion granted upon successful completion of the program
Mayo Clinic employees: Register here (must be logged in to the Mayo Clinic network)
External learners: Register here
Reference Mayo's online Creating Account and Registration Tutorial for help.
If you're having problems with registration or course access, please contact Mayo's Education Technology Center at email@example.com.
- Approximately 10 hours of content
- Participants have up to six months to complete the program
- The content is accessible for one year after admission
- A score of 80% or higher is required on each knowledge check to move to the next module
- A certificate of completion is granted upon successful completion of the program
After completing the program, learners will be able to:
- Recognize problems with current standard practices in basic biomedical science research
- Identify solutions for problems with current standard practices in basic biomedical science research
Sample Size Matters was created by Tracey L. Weissgerber, Ph.D., and Stacey J. Winham, Ph.D. Drs. Weissgerber and Winham have collaborated on a number of high-impact studies in the field since 2014, including their influential 2015 PLOS Biology paper on bar graphs.
Dr. Winham is a faculty member in the Division of Computational Biology, Department of Quantitative Health Sciences, and leader of biostatistics education at Mayo Clinic.
Dr. Weissgerber is a faculty member in the Division of Nephrology and Hypertension at Mayo Clinic and a group leader and metaresearcher at the Berlin Institute of Health Quality, Ethics, Open Science, Translation (QUEST) Center at Charité — Universitätsmedizin.
The CCaTS Education Contacts page contains a listing of team members who can assist you with questions.