Loading...

Course Description

Statistical analyses are a fundamental component of experimental design in many biomedical research fields. Particularly when working with large, messy data, proper understanding of statistics is essential to perform proper statistical analyses. This course will build on students' existing knowledge of statistics to help them expand their analysis toolkits and will cover topics including modeling, bootstrapping, simulations, imputation, and basic machine learning. Students will attend lectures to gain theoretical understanding of topics before applying concepts through practice problems and projects using the R programming language.

Learner Outcomes

When you complete the course successfully, you will be able to:

  • Fit and interpret multiple regression models including interaction and non-linear terms
  • Fit and interpret logistic regression models
  • Evaluate model fit to perform model selection
  • Perform bootstrapping and simulation analyses to quantify statistical confidence
  • Fit basic machine learning models
  • Identify the strengths and weaknesses of different machine learning models.

Microcredential(s)

This course applies toward the Bioinformatics Endeavor digital badge.

Prerequisites

Basic proficiency in R and simple statistical analyses.

REFUND
Follow the link to review FAES Tuition Refund Policy.

Loading...
To Register Click on "Add to Cart"
Section Title
Statistics for Biomedical Researchers
Type
Online Asynchronous
Dates
Jun 14, 2023 to Aug 01, 2023
Total Cost (Includes $75 non-refundable technology fee per course)
Eligible Discounts Can Be Applied at Checkout (2 Credits) $775.00
Potential Discount(s)
Available for Academic Credit
2 Credit(s)
Instructor(s)
Required fields are indicated by .