Biostatistical Methods I: Linear Regression and ANOVA

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.

Topics include:

• Simple linear regression
• Multiple linear regression
• Analysis of variance and covariance (ANOVA and ANCOVA)
• Model diagnostics
• Nonparametric analysis

Practical experience:

• 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 appliedscience@ucsd.edu.

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

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4/3/2023 - 6/5/2023

$725

Online

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• SECTION ID:

  169182

• CLASS TYPE:

  Online Asynchronous.
  
  This course is entirely web-based and to be completed asynchronously between the published course start and end dates. Synchronous attendance is NOT required.
  You will have access to your online course on the published start date OR 1 business day after your enrollment is confirmed if you enroll on or after the published start date.

• INSTRUCTOR:

  Li, Arthur, Biostatistician, City of Hope; Instructor, Department of Preventative Medicine, USC

  Arthur Li holds an M.S. in Biostatistics from the University of Southern California. Currently, he is a biostatistician at the City of Hope National Medical Center. Li developed and taught an introductory SAS course at USC for the past six years, and teaches a clinical biostatistics sourse at UC San Diego Extension. In addition to teaching and working on cancer-related research, Li wrote a book titled “Handbook of SAS® DATA Step Programming” which was released in April 2013.  

• TEXTBOOKS:

  No textbook required.

• POLICIES:

  No refunds after: 4/10/2023.
  

• NOTE:

• DATE & LOCATION:

  4/3/2023 - 6/5/2023
  extensioncanvas.ucsd.edu
  You will have access to your course materials on the published start date OR 1 business day after your enrollment is confirmed if you enroll on or after the published start date.