Short Course Description
Biostatistics and Exploratory Data Analysis
Course Description
This course is designed to analyze data with a single continuous response variable. Students learn to perform elementary exploratory data analysis (EDA) and discover natural patterns in data. Important statistical concepts such as confidence intervals are also introduced. Students will use JMP software to learn these statistical techniques: t-tests, analysis of variance (ANOVA), linear regression, and analysis of covariance (ANCOVA). Interaction effects are also discussed. The course explains how to evaluate assumptions using the extensive diagnostic capabilities included in JMP software.
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
Course Fee:
US $500/$600* |
Course Format:
Lecture |
Class Limit:
40 |
Instructor:
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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
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