Skip to main content

Statistics and Experimental Design
for the Biomedical Sciences

MEDS 3023C  |  3 credit hours

Summer Term 2023 Second Half Term (Session E)  |  Online instruction  |  Syllabus (PDF)
Section 001: T 2:00 – 3:20 PM (Recitation), W 4:00 – 5:50 PM (Workshop), and F 2:00 -3:50pm (Workshop)

Bryan Mackenzie, PhD  |  |  513-558-3267

Statistics and Experimental Design for the Biomedical Sciences is a practical course designed to provide students with a solid foundation and intuitive understanding of statistics for the biomedical sciences. The course covers key concepts and methods. The course covers best practices in experimental design and statistical analysis, ensuring scientific rigor and reproducibility. The course emphasizes parametric and nonparametric statistics used in making between-group inferences, linear and nonlinear regression used in modeling physiological phenomena, effective data presentation, transparency, and graphic integrity. This 3-credit-hour course comprises both lectures and workshops.

Required Software

You must have a professional laptop computer on which you have installed appropriate statistical software or be able to access it remotely. SigmaPlot v14.5 is the recommended software package for use in this course. (Under exceptional circumstances, you may use an alternative software package, see below*.) You can purchase a UC site-licensed copy of SigmaPlot v14.5 for $38 beginning January 2, 2023 at the IT@UC ResNet Software Store. The license expires July 31, 2023. Please see the syllabus for alternative means of obtaining SigmaPlot, using a mac, and alternative software options. 

Purchase UC site-licensed software online:

Visit IT@UC ResNet Software Store at



It is recommended that you use one or both of the following textbooks:


Philip Rowe (2016) Essential Statistics for the Pharmaceutical Sciences (2e), Wiley, Chichester
Paperback ISBN: 9781118913390
Hardback ISBN: 9781118913383
E-Book ISBN: 9781119109075
Free online access (on-campus)

A very accessible, easy-to-read textbook, Essential Statistics will help you gain a solid understanding of statistics and good practice. Rowe walks the reader through the most common statistical tests and is careful to point out the many pitfalls that researchers can encounter.


Robert Riffenburgh (2013) Statistics in Medicine (3e), Academic Press / Elsevier, San Diego
Hardback ISBN: 9780123848642
E-Book ISBN: 9780123848659
Free online access (on-campus)

A thorough and comprehensive statistics manual for biomedical and clinical research, Statistics in Medicine will also serve as an excellent reference for many of the tests that are beyond the scope of this course.


Intranet Login

Contact Us

Medical Sciences 
Baccalaureate Program

Medical Sciences Building
231 Albert Sabin Way
PO Box 670552
Cincinnati, OH 45267-0552

Mail Location: 0552
Phone: 513-558-7650