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, 4th edition.)
Pre-requisites
PHM 819
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.
Semesters
Online: Summer, Fall
Credits
3
Type
Science
Sections available
- 730 MSU Students
- 731 Lifelong In-State
- 732 Lifelong Out-State
Programs
- MS/Pharmacology & Toxicology (Required)
- MS/Integrative Pharmacology (Required)
- Grad Cert/ SafetyPhm
- PhD (Required)