Short Course Description

Biostatistics and Exploratory Data Analysis

This course is designed to show students how to analyze data with a single continuous response variable. Students will learn to perform exploratory data analysis (EDA) and discover patterns in data. Important statistical inference concepts will be discussed. Students will get hands-on experience using JMP software to apply statistical techniques such as: t-tests, analysis of variance (ANOVA), linear regression, and analysis of covariance (ANCOVA). The evaluation of mathematical assumptions is discussed and graphical displays are used to illustrate the results of all analyses.

Who Should Attend

This course is designed for analysts and researchers with some statistical training who want to analyze continuous response data using analysis of variance and regression methods.

How You'll Benefit From This Course

• Learn about exploratory data analysis
• Become familiar with statistical concepts such as confidence intervals
• Become familiar with statistical techniques such as t-test, ANOVA and regression

Course Topics

• Introduction to Statistics
• Comparing Means
• Analysis of Variance
• Simple Linear Regression
• Multiple Regression
• Regression Diagnostics
• Analysis of Covariance
• Get hands-on experience using JMP software to do popular statical analyses

Course Fee: US $600/$700*

Course Format: Computer

Class Limit: 40

Instructor:

Gerry Hobbs, Ph.D. West Virginia University Morgantown, West Virginia, USA

Gerry Hobbs received a Ph.D. in Statistics from Kansas State University. He is a member of the Department of Statistics at West Virginia University and serves as the coordinator of the Biostatistical Consulting Unit at the medical school there. He has served as a consultant to the SAS Institute for over 20 years and has worked with people in a wide range of industrial settings.

* higher fee applies to those who are not ALA members