Statistics and Experimental Design
for the Biomedical Sciences

Course # MCP8050C  |  3 Credit Hours

Spring Semester  |  Syllabus (PDF)

Section 001: T 2:00 – 3:20 PM (Lecture) and W 2:00 – 3:50 PM (Workshop)
Section 002: T 2:00 – 3:20 PM (Lecture) and R 2:00 – 3:50 PM (Workshop)
Section 003: T 2:00 – 3:20 PM (Lecture) and F 10:30 AM – 12:20 PM (Workshop)

Bryan Mackenzie, PhD  |  bryan.mackenzie@uc.edu  |  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 SigmaPlot (v14 preferred). You can purchase a site-licensed copy of SigmaPlot for $74 (2019–20), or $37 after January 1, 2020. The license expires July 31, 2020. SigmaPlot requires the Windows OS. To run SigmaPlot on your mac you will have to either (1) use a Windows compatibility layer (eg CrossOver Mac) in which you run SigmaPlot, or (2) partition your disk (using Bootcamp) and install Windows on that partition. If you have an earlier version of SigmaPlot, you may find it difficult to follow along in workshops.

Purchase UC site-licensed software online:

Hardware & Software for students

*Note that Minitab, SAS, SPSS, and SYSTAT input data formats are supported in SigmaPlot. You may elect to use an alternative statistics software package (e.g. Minitab, Prism, SAS, SPSS, SYSTAT) instead of SigmaPlot. Should you choose to do so you acknowledge the following: (1) no provision will be made to ensure that data files are compatible, (2) you are responsible for any reformatting or reorganization of data that may be required, (3) following along at the workshop may be difficult; and (4) no troubleshooting or instruction will be provided for alternative software.

Textbooks

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 or connected to UC via VPN) 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 or connected to UC via VPN) 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.