Research Institute for Primary Care and Health Sciences, Keele University
A two-day training course on Statistical Methods for Evidence Synthesis of Individual Participant Data, 7-8th June 2017
Led by Dr Danielle Burke and Professor Richard Riley
Course description:
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. There is also a guest lecture on multiple imputation by Dr Thomas Debray (Utrecht). The course consists of a mixture of lectures and practical sessions in Stata to reinforce the underlying statistical concepts. The key messages are illustrated with real examples throughout.
Prerequisites:
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, although the practicals will not require individuals to write their own code. Participants will need to bring a laptop with Stata 12 or above.
Registration for this course is £400 for students, £550 for academics (public sector)/charity and £750 for non-academic/pharmaceutical. The cost includes one night's accommodation, lunch on both days and a pub meal on the evening of the 7th.
For more details and to register for the course, please follow the link below:
http://estore.keele.ac.uk/conferences-and-events/faculty-of-medicine-and-health-sciences/primary-care-health-services/course/statistical-methods-for-evidence-synthesis-of-individual-participant-data-course-june-2017
For further information regarding the course, please contact Emily Brayford: [log in to unmask]
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