Statistics and Experimental Design
for the Biomedical Sciences
MEDS 3023C | 3 credit hours
Spring Term 2022 | In-person instruction | Syllabus (PDF)
Section 004: T 2:00 – 3:20 PM (Lecture) and W 2:00 – 3:50 PM (Workshop)
Section 005: T 2:00 – 3:20 PM (Lecture) and R 2:00 – 3:50 PM (Workshop)
Section 006: T 2:00 – 3:20 PM (Lecture) and F 10:30 AM – 12:20 PM (Workshop)
By Permission of Course Director
Bryan Mackenzie, PhD | email@example.com | 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.
You must have a professional laptop computer on which you have installed appropriate statistical software or be able to access the software remotely. SigmaPlot v14 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, 2022. The license expires July 31, 2022. 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:
Visit IT@UC ResNet Software Store at https://secure.touchnet.net/C21575_ustores/web/product_detail.jsp?PRODUCTID=757&SINGLESTORE=true
*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.
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.