Description

Practical application of statistical principles to the design of experiments and analysis of experimental data in pharmacology, toxicology, and related biomedical sciences.

Topics

• Variables and measurement scale
• Distribution and descriptive statistics
• Statistical inference and introduction to hypothesis testing
• Hypothesis testing: Comparison of two groups
• Introduction to analysis of variance
• Simple ANOVA designs and their non-parametric alternatives
• Factorial ANOVA
• A posteriori or posthoc multiple comparison methods
• Transformations, outliers and missing data
• Correlation and regression analysis
• Analysis of categorical data
• Survival analysis

Recommended Textbooks

No textbooks required; electronic materials utilized. Suggested supplemental book:

 

Intuitive Biostatistics: A Nonmathematical
Guide to Statistical Thinking
(Motulsky, 4th edition.)

 

Recommended Background

Undergraduate degree in biology, chemistry or
related field.

Instructor(s)

Dr. William Jackson holds a PhD from Michigan State University, and specializes in microvascular cell ion channel physiology and pharmacology, control of peripheral arteriolar tone and local control of bloodflow.