Introduction to Meta-analysis

Description

The course aims to introduce participant to the basic issues related to meta-analysis. It addresses aspects related to the design of such studies and the interpretation of their results. The author discusses elements such as the forest plot, weighted effect size, heterogeneity coefficient or funnel plot.

What will you learn?

Through this course you will learn a different perspective on statistical analysis. You will learn what to look out for when collecting data for meta-analyses. You will learn about the specific types of models needed to perform meta-analyses. You will learn how a forest plot and a funnel plot are created and how to interpret them, as well as the interpretation of the weighted effect size and the heterogeneity coefficient.

Who this course is designed for:

The course is designed specifically for researchers who want to expand their existing statistical knowledge, in particular:

• researchers

• academics

• PhD students

• doctors familiar with the basics of statistics

• managers of pharmaceuticals and clinical research industry.

About us

The course is conducted by Andrzej Tomski, PhD - a lecturer and researcher at the University of Silesia, Faculty of Mathematics. He is a graduate of the Jagiellonian University in Krakow, holding a doctorate in mathematics. He specializes in biomathematics and serves as the person responsible for statistical areas in clinical research (analysis plans, method selection, statistical analysis) at BioStat Research and Development Center.

BioStat Research and Development Center is among the commercial scientific institutions with the status of a Research and Development Center (Centrum Badawczo-Rozwojowe, CBR) registered by the Ministry of Entrepreneurship and Technology.

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