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 **
"Statistical Methods for Evidence Synthesis of Individual Participant Data"
18th & 19th June 2018
Led by Dr Danielle Burke and Prof Richard D. Riley
Research Institute for Primary Care and Health Sciences, KEELE UNIVERSITY
This two-day statistical course provides a detailed foundation of the methods and principles for evidence synthesis and meta-analysis when IPD (Individual Participant/Patient Data) are available from multiple related studies. The course considers continuous, binary and time-to-event outcomes, and both fixed effect and random effects meta-analysis models. 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). Two-stage and one-stage IPD meta-analysis approaches are outlined in detail. Day 2 focuses on novel extensions, including: estimation of treatment effect modifiers (interactions) for stratified medicine, multivariate and network meta-analysis of IPD to incorporate correlated and indirect evidence (e.g. from multiple outcomes, multiple treatment groups or multiple time-points); and meta-analysis of prognostic/risk factor studies. The course consists of a mixture of lectures and practical sessions in Stata to reinforce the underlying statistical concepts. Code will also be replicated for use in R. The key messages are illustrated with real examples throughout.
The course is aimed at individuals that want to learn how to design and undertake the analysis of an IPD meta-analysis. We recommend that participants have a background in statistics as the course assumes a good understanding of core statistical principles and topics, such as regression methods (such as linear, logistic, and Cox), parameter estimation and interpreting software output. 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 or R, although the practicals will not require individuals to write their own code. Participants will need to bring a laptop with Stata 12 or above, or the latest version of R.
Student £450; Academic £600; NHS and government organisations £600; Industry (commercial) £800
(Includes one night’s accommodation, lunch on both days and a pub meal on the evening of the 18th June)
To register for the course please visit the Keele e-store: http://estore.keele.ac.uk/conferences-and-events/faculty-of-medicine-and-health-sciences/primary-care-health-services/course/2018-june-statistical-methods-for-evidence-synthesis-of-individual-participant-data-course