Basic and advanced statistical methods for meta-analysis
The Meta-analysis module for health professionals is designed to provide an overview of different meta-analysis methods and common problems encountered with extracting data. Basic and advanced methods which can be used to combine data from various study types will be covered using Review Manager and Stata software.
Topics covered will include standard methods for intervention comparisons, approaches which can be used for combining different summary measures, subgroup analyses and methods to investigate heterogeneity, as well as advanced methods for diagnostic accuracy, individual patient data and network meta-analysis.
Aims of the module
The overall aims of this module are to enable students:
- To be able to plan, carry out and interpret meta-analysis for questions in evidence based healthcare.
- To develop familiarity with basic and advanced techniques for the analysis of quantitative systematic review data: meta-analysis, meta-regression, network meta-analysis, diagnostic meta-analysis, individual patient-data meta-analysis.
This course will give substantial lecture and practical time to a practical issue, data extraction for meta-analysis.
To book onto this course please visit the module webpage.
Part of the Evidence-Based Health Care Programme
The Programme is delivered in conjunction with Oxford's Nuffield Department of Primary Care Health Sciences and is supported by the Centre for Evidence-Based Medicine.