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:

book cover

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.

Semesters

Summer, Fall

Credits

3

Type

Science

Sections available

  • 730 MSU Students
  • 731 Lifelong In-State
  • 732 Lifelong Out-State

Programs

  • MS/Pharmacology (Required)
  • MS/Toxicology (Required)
  • MS/General (Required)
  • PSM (Required)
  • Grad Cert/ SafetyPhm
  • PhD (Required)