Understanding the Analysis of Intensive Longitudinal Data: Analysis for assessments of clinical validity and efficacy

Description

Digital health technologies, such as daily completion electronic diaries, sensor based out-of-clinic tasks and continuous assessment through wearable sensors all generate a lot of data. Handling this data with our typical tools often leads to a loss of information which hide results. This session will discuss when it is appropriate to use traditional methods and when specific methods for intensive longitudinal data are required, and present these through worked examples.

Intended Audience

  • Digital health professionals
  • Pharmaceutical
  • Academic

Level of Knowledge Needed

Advanced

Audience Benefits

This webinar will provide the audience with:

  • An understanding of the considerations which should be made when faced with intensive longitudinal data
  • Knowledge about the appropriateness of traditional methods
  • Information, skills and resources to conduct research using methods which are more appropriate for intensive longitudinal data

Learning Outcomes/Objectives

At the end of this webinar, attendees will be able to:

  • Choose the appropriate analyses for clinical validation of digital health tools
  • Choose the appropriate analyses for assessment of treatment effects/group differences when using data arising from digital health tools or daily diary data
  • Conduct the above methods and interpret the output

Presenters

  • Piper Fromy, PhD, Psychometrician, IQVIA

Moderator:
RJ Wirth, PhD, CEO, Vector Psychometric Group, LLC

Organized By:
2021 Measuring What Matters Symposium Co-Chairs

Sponsored by:

         

   

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The International Society for Quality of Life Research (ISOQOL) is a global community of researchers, clinicians, health care professionals, industry professionals, consultants, and patient research partners advancing health related quality of life research (HRQL).

Together, we are creating a future in which patient perspective is integral to health research, care and policy.