C-12: Topics in Sleep Data Science

Half-Day Course
Philip Gehrman, PhD, Chair

Both researchers and clinicians often lack the information necessary to expand their data collection and analysis into new domains. The goal of this postgraduate course is to provide basic, practical information on the collection and use of several types of data within sleep research and clinical practice. The course will provide attendees with a foundation for expanding their work into new types of sleep data.

Psychologist Level of Content: Intermediate

 


 

Agenda

  • 8:00 AM – 8:15 AM
    Introduction
  • 8:15 AM – 9:00 AM
    Accessing and Leveraging Existing Datasets for Sleep and Research  |  Michael Grandner, PhD
  • 9:00 AM – 9:45 AM
    Incorporating Data Collection into Clinical Practice  |  Sairam Parthasarathy, MD
  • 9:45 AM – 10:00 AM
    Break
  • 10:00 AM – 10:45 AM
    Biobanking Basics  |  Jessica Gill, PhD, RN
  • 10:45 AM – 11:30 AM
    Dealing with Time-Based Variables  |  Philip Gehrman, PhD
  • 11:30 AM – 12:00 PM
    Q&A  |  Faculty

 


 

Learning Objectives

Upon completion of this activity, participants should be able to:

  • Understand available sleep datasets and how to access them.
  • Develop a strategy for incorporating data collection into clinical practice.
  • Work with time-based variables.

 


 

Please note, general registration does not include postgraduate courses.

Learn more about ticketed sessions here.

Basic and Translational Sleep Science Postgraduate Courses Ticketed Sessions