The Methods Group regularly holds training workshops on the use of IPD at Cochrane Colloquia and UK & Ireland-based Contributors Meetings


Details of any training workshops to be run at forthcoming Cochrane Colloquia will appear here, when available.

For details of past training workshops, please click on the following links:
For details of guidance and slide presentations on the use of IPD and FAQs, please visit the resources page

**Upcoming training opportunity**

Statistical Methods for Evidence Synthesis of Individual Participant Data

Organiser: Dr Danielle Burke, Research Institute of Primary Care, Keele University

Date: Wednesday 7th June - Thursday 8th June 2017

Location: Sustainability Hub, Keele University (

Led by: Richard Riley and Danielle Burke, University of Keele

Richard Riley is a Professor of Biostatistics at Keele University, having previous held posts at the Universities of Birmingham, Liverpool and Leicester. He joined Keele in October 2014 and his role focuses on statistical and methodological research for prognosis and meta-analysis, whilst supporting clinical projects in these areas. He is also a Statistics Editor for the BMJ, an Associate Editor of Statistics in Medicine, and a co-convenor of the Cochrane Prognosis Methods Group. Richard is an expert on statistical methods for meta-analysis (the combination of results across multiple studies) and prognosis research (the study of future outcomes in those with existing disease). In meta-analysis, he specialises in methods for dealing with multiple correlated outcomes, and for synthesising individual participant data (IPD). More information can be found under the following link:

Objectives of workshop: The course will involve a mixture of lectures and STATA practicals and will introduce participants to the fundamental statistical methods and principles for evidence synthesis and meta-analysis when IPD (Individual Participant/Patient Data) are available from multiple related studies

Structure: Day 1 focuses mainly on the synthesis of IPD from randomised trials of interventions, where the aim is to quantify a treatment effect (usually in the presence of between-study heterogeneity). Day 2 focuses on identifying treatment effect modifiers (interactions) for stratified medicine. Day 2 also focuses on multivariate and network meta-analysis methods using IPD that jointly synthesise multiple correlated effects (e.g. from multiple outcomes, multiple treatment groups or multiple time-points). There is a guest lecture on multiple imputation.

Preliminary requirements: We recommend that participants have a background in statistics as the course assumes an understanding of core statistical topics, such as regression methods (e.g. linear, logistic, and Cox) and parameter estimation. A familiarity with traditional aggregate data (non-IPD) meta-analysis methods would be advantageous, though not essential. We also recommend that participants are familiar with Stata, although the practicals will not require individuals to write their own code. Participants will need to bring a laptop with Stata 12 or above.

Cost: Student: £400; Academic (public sector) £550; Industry (commercial) £750. Cost includes one nights accommodation, lunch on both days and a pub meal on the evening of June 7th.

For further information and course structure/content, please click here