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MEDS 3023C | 3 credit hours
Spring Term 2023 | 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)
Bryan Mackenzie, PhD | firstname.lastname@example.org | 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 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.
Visit IT@UC ResNet Software Store at https://secure.touchnet.net/C21575_ustores/web/product_detail.jsp?PRODUCTID=757&SINGLESTORE=true
It is recommended that you use one or both of the following textbooks:
Medical Sciences Building231 Albert Sabin WayPO Box 670552Cincinnati, OH 45267-0552
Mail Location: 0552Phone: 513-558-7650Email: email@example.com