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Network Meta-Analysis in Relative Effectiveness Research (Virtual)

LEVEL: Intermediate
TRACK: Study Approaches
LENGTH: 4 Hours | Course runs 2 consecutive days, 2 hours each day

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Thursday, 17 November 2022 |  Course runs 2 consecutive days, 2 hours per day
11:00AM–13:00PM Eastern Standard Time (EST)
08:00AM-10:00AM Pacific Standard Time (PST)
16:00PM–18:00PM Coordinated Universal Time (UTC)
17:00PM–19:00PM Central European Time (CET)

Friday, 18 November 2022 | Course runs 2 consecutive days, 2 hours per day
11:00AM–13:00PM Eastern Standard Time (EST)
08:00AM-10:00AM Pacific Standard Time (PST)
16:00PM–18:00PM Coordinated Universal Time (UTC)
17:00PM–19:00PM Central European Time (CET)

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DESCRIPTION

For several medical questions of interest, many treatment options exist for the same indication. These treatments may have been compared against placebo or against each other in clinical trials. Knowing whether one specific treatment is better than placebo or some other specific comparator is only a fragment of the big picture, which should incorporate all available information. Ideally, one would know how all the treatment options rank against each other and the level of differences in treatment effects between all the available options. Network meta-analysis provides an integrated and unified method that incorporates all direct and indirect comparative evidence about treatments. Based in part on the ISPOR Task Force Reports on Indirect Treatment Comparisons, the fundamentals and concepts of network meta-analysis will be presented. The evaluation of networks presents special challenges and caveats, which will also be highlighted in this course. The material is motivated by instructive and concrete examples. The ISPOR-AMCP-NPC questionnaire for assessing the credibility of a network meta-analysis will also be introduced. This course requires at least a basic knowledge of meta-analysis and statistics.

FACULTY MEMBERS

Jeroen P. Jansen, PhD
Chief Scientist
PRECISIONheor
Oakland, CA, USA
and
Associate Professor
Clinical Pharmacy, University of California
San Francisco, CA

Sarah Goring, MSc
Independent Consultant
SMG Outcomes Research
Vancouver, BC, Canada

Basic Schedule:
Class Time: 2 hours daily