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HEOR Learning Lab™ is an educational resource for professionals who work or have an interest in the field of health economics and outcomes research (HEOR). This resource provides unlimited, on-demand, educational video content to facilitate learning and innovative approaches in the field from the leading global organization in HEOR. 

ISPOR members can immediately access everything that HEOR Learning Lab offers and  that includes high-value content selected from the Society’s conferences, summits, and other seminal events. Content is focused on the most topical themes impacting the field, including real-world evidence, patient-centered research, digital health, artificial intelligence and machine learning, health technology assessment, economic methods, healthcare financing, access and policy, learning healthcare systems, and much more. Nonmembers can gain access by either becoming a member or subscribing to HEOR Learning Lab

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Content Available:

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March 15-16: Bayesian Analysis–An Introduction- Virtual
event-Short-Courses

March 15, 2023 - March 16, 2023

Back to all short courses

Bayesian Analysis–An Introduction (Virtual)


LEVEL:
Introductory
TRACK:
Methodological & Statistical Research
LENGTH:
4 Hours | Course runs 2 consecutive days, 2 hours each day
 
Register Here

Wednesday, 15 March 2023 | Course runs 2 consecutive days
10:00AM-12:00PM Eastern Daylight Time (EDT)
16:00PM–18:00PM Central European Time (CET)
14:00PM-16:00PM Coordinated Universal Time (UTC)

Thursday, 16 March 2023 | Course runs 2 consecutive days
10:00AM-12:00PM Eastern Daylight Time (EDT)
16:00PM–18:00PM Central European Time (CET)
14:00PM-16:00PM Coordinated Universal Time (UTC)

Click for time zone conversion


DESCRIPTION

This course is designed to provide a gentle introduction to the Bayesian approach and its applications to health economics and outcomes research. The course will cover basic elements of Bayesian statistics, contrasting briefly with classical (frequentist) statistics, and introduce available statistical packages. The course will also provide a “hands-on” workshop where participants will be led through live examples of basic statistical analyses (comparison of one and two proportions, comparison of two means, linear regression, and logistic regression) using OpenBUGS software. This course is designed for those with a limited understanding of Bayesian statistical concepts or for those who want a refresher and more practical experience. Participants who wish to gain hands-on experience are required to have a computer with OpenBUGS installed. Software information will be provided prior to the course.


Faculty

Christopher S. Hollenbeak, PhD
Professor & Department Head
Department of Health Policy and Administration
College of Health and Human Development
The Pennsylvania State University
University Park, PA, USA



Basic Schedule:
Class Time: 2 hours daily

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