Regression analysis is used to estimate the relationships between variables, and includes many different techniques. Linear regression serves as the basis for other types of regression. It is used extensively in many fields, but especially in the biomedical field.
This course covers simple and multiple linear regression, analysis of variance and covariance, and nonparametric analysis. Model building techniques, evaluating model fit, and dealing with violations of model assumptions are also introduced in this course. Through the completion of real-world problems, students will learn to analyze continuous response data and to write the method and result sections for a scientific paper.
- Simple linear regression
- Multiple linear regression
- Analysis of variance and covariance (ANOVA and ANCOVA)
- Model diagnostics
- Nonparametric analysis
- Use SAS to analyze continuous response data
- Write method and result sections for a scientific paper
Software: Students will use SAS OnDemand for Academics: Enterprise Guide. There is no additional cost for this software. Registration information will be provided by the instructor on the course start date.
Course typically offered: Online in Fall and Spring
Prerequisites: Biostatistics and SAS Programming I or equivalent experience required.
Next Steps: Upon completion of this course, consider taking Biostatistical Methods II to continue learning.
More Information: For more information about this course, please contact email@example.com.
Note: Instructions for ordering the course reader (e-textbook) will be provided on the first day of class.
Course Number: BIOL-40315
Credit: 3.00 unit(s)
Related Certificate Programs: Biostatistics