Medical Biometry II


Course Details

  • Location: Online
  • Duration: 10 weeks
  • Times: Evenings
  • Cost starts at: $1,650

Next Start Date:

January 9, 2019

This course is part of a certificate program. You can also take it without enrolling in the program.

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About this Course

The second course in the program presents methods and strategies for developing both simple and complex models in R, allowing you to analyze relationships in multivariate data. We’ll explore how to measure the models’ fit, establish confidence intervals on the model parameters, identify outlier data, and understand what the model parameters represent. At the conclusion of the course, you’ll be able to develop programs in R to measure, analyze and display how well the models represent complex data, as well as be able to interpret and report on the results.

What You’ll Learn

  • Strategies for choosing appropriate models to best answer a given scientific question
  • How to interpret and graphically display and report the results
  • Aspects of multiple linear regression
  • Techniques for analyzing Analysis of Covariance, 1- and 2-way ANOVA
  • Details about data transformations, dummy variables and outlier detection

Program Overview

This course is part of the Certificate in Applied Biostatistics.

Quarter 1

Medical Biometry I

Learning Format

Online With Real-Time Meetings

Combine the convenience of online learning with the immediacy of real-time interaction. You’ll stream courses online and interact with your instructors and fellow students via chat, web conferencing or phone, all in real time. Learn More »

Course Sessions

Online With Real-Time Meetings


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You'll earn 4 continuing education units (CEUs) for successfully completing this course. Learn more about noncredit courses.


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Credit Course

You’ll earn 4 academic credits for successfully completing this course. Learn more about credit courses