PHM 830 - Experimental Design & Data Analysis

Description

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

Recommended Background

Some biology and/or chemistry is strongly suggested. PHM819 or PHM 801

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, 2nd edition revised, 2010.)
(Motulsky, 3rd edition. 2013.)

 

 

Pre-requisites

PHM 819

Instructor(s)

Dr. William Jackson is the Director and Academic Advisor for the PSM in Integrative Pharmacology Program, and Professor and Acting Chairperson of Pharmacology & Toxicology. He 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.