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Meta-Analysis: An Advanced Course with Michael Borenstein, Biostat, Inc.

https://instats.org/seminar/meta-analysis-an-advanced-course2?utm_source=dresa

Description:

This four-day workshop covers advanced topics in meta-analysis, including how to quantify and explain heterogeneity in effects across studies. Participants will learn how to use subgroups analysis and meta-regression while covering key topics such as publication bias, complex data sets, and limitations of the random-effects model. Each topic will be introduced at the conceptual level, followed by worked examples and exercises so that participants will feel comfortable performing these analyses on their own. All sessions include time for an extensive discussion.

Start: Tuesday, 28 January 2025 @ 03:00

End: Friday, 31 January 2025 @ 09:00

Timezone: Sydney

Learning Objectives:

Topics Covered
One control group with multiple treatment groups , Subgroups analysis , Analysis of variance , Publication bias for incidence , Publication bias for prevalence

Eligibility:
  • Open to all

Organiser: Michael Borenstein, Biostat, Inc.

Contact: info@instats.org

Host institution: Instats

Cost Basis: Free to all

Meta-Analysis: An Advanced Course with Michael Borenstein, Biostat, Inc. https://dresa.org.au/events/meta-analysis-an-advanced-course-with-michael-borenstein-biostat-inc This four-day workshop covers advanced topics in meta-analysis, including how to quantify and explain heterogeneity in effects across studies. Participants will learn how to use subgroups analysis and meta-regression while covering key topics such as publication bias, complex data sets, and limitations of the random-effects model. Each topic will be introduced at the conceptual level, followed by worked examples and exercises so that participants will feel comfortable performing these analyses on their own. All sessions include time for an extensive discussion. 2025-01-28 03:00:00 UTC 2025-01-31 09:00:00 UTC Michael Borenstein, Biostat, Inc. Instats info@instats.org [] [] [] open_to_all []