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Course Information

  • Course Description

    This course focuses on the statistical methods and interpretation of meta-analysis in comparative effectiveness research. Participants learn how study results are synthesized, how to interpret heterogeneity and model selection, and how to evaluate advanced approaches such as meta-regression, network meta-analysis, and cumulative meta-analysis for use in health care decision making.

    Learning Objectives

    After completing this course, participants will be able to:

    Describe common effect measures and statistical approaches used in meta-analysis.

    Interpret heterogeneity, fixed-effect and random-effects models, and meta-regression results.

    Identify publication bias and summarize software tools used to assess it.

    Describe advanced meta-analytic methods and determine when meta-analytic findings are appropriate for decision making.

Speakers
Jeroen Jansen
Organization: UCSF


Jeroen P Jansen PhD is a methodologist working at the intersection of evidence synthesis, biostatistics, and health economics. He is an Associate Professor in the Department of Clinical Pharmacy in the School of Pharmacy at the University of California, San Francisco and Chief Scientist - Health Economics & Outcomes Research at the Precision Medicine Group. For the past 15 years, Dr. Jansen h


Joseph Cappelleri
Organization: Pfizer


Joseph C. Cappelleri earned his MS in statistics from the City University of New York (Baruch College), PhD in psychometrics from Cornell University, and MPH in epidemiology from Harvard University. Dr. Cappelleri is an executive director of biostatistics and head of HEOR Statistics at Pfizer Inc.


Fees
  • Meta-Analysis in Comparative Effectiveness Research: Methods, Interpretation, and Advanced Applications: $360.00
  • Meta-Analysis in Comparative Effectiveness Research: Methods, Interpretation, and Advanced Applications: $270.00

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