Statistical methods for evidence synthesis of individual participant data: Keele University, UK

A two-day training course on Statistical Methods for Evidence Synthesis of Individual Participant Data

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 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.

Dates: 18th and 19th June, 2018

Location: Keele University, UK

Led by: Dr Danielle Burke and Professor Richard Riley

Registration fee: £450 for students, £600 for academics, £600 for NHS and government organisations, and £800 for industry. The cost includes one night's accommodation, lunch on both days and a pub meal on the evening of the 18th.

Register and further details: