Meta-analysis: an Introduction

University College London

Short course

In London

£ 225 VAT inc.

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Description

  • Type

    Short course

  • Level

    Intermediate

  • Location

    London

  • Class hours

    8h

  • Duration

    2 Days

  • Start date

    Different dates available

This short course provides an overview of meta-analysis from a statistician’s point of view.
You'll learn about:
the merits of meta-analysis and how it can form an important and informative part of a systematic review
the most common statistical methods for conducting a meta-analysis
common issues that may be encountered
By the end of the course you should be able to conduct a meta-analysis of your own and interpret the results of meta-analyses published in journal articles.
It runs over one full day, with an optional second half day practical workshop using R.
This course is delivered by the Centre for Applied Statistics Courses (CASC) - part of the UCL Great Ormond Street Institute of Child Health (ICH).

Facilities

Location

Start date

London
See map
Gower Street, WC1E 6BT

Start date

Different dates availableEnrolment now open

About this course

By the end of this course you should be able to:
understand the main principles and objectives of meta-analysis
pick out relevant data from journal articles for a meta-analysis and calculate summary statistics
undertake a fixed effect and random-effects meta-analysis
investigate the differences between the studies and how this may impact the study results
investigate bias in a meta-analysis

You should have a basic understanding of standard errors, p-values and confidence intervals.
To attend the workshop you should have a basic knowledge of R programming.

You can request a certificate of attendance for this course once you've completed it.

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Reviews

This centre's achievements

2018

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The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 14 years

Subjects

  • Statistics
  • Meta-analysis
  • Random-effects
  • R Programming
  • Analysis
  • P-values
  • Rstudio
  • Outcome
  • Heterogeneity
  • Journal articles

Course programme

By the end of this course you should be able to:

  • understand the main principles and objectives of meta-analysis
  • pick out relevant data from journal articles for a meta-analysis and calculate summary statistics
  • undertake a fixed effect and random-effects meta-analysis
  • investigate the differences between the studies and how this may impact the study results
  • investigate bias in a meta-analysis

See related categories

Meta-analysis: an Introduction

£ 225 VAT inc.

The best Analysis and Development courses

See all

See all