Three-day statistical course
Statistical methods for meta-analysis of individual participant data
Date: Postponed until 2021
Location: Dorothy Hodgkin Building, Keele University, ST5 5BG
Cost: £550 (Students), £695 (Academics; Public Sector), £895 (Private sector)
The cost includes all sessions, lunch on all days, a pub meal on the first evening and a gala dinner at Keele Hall on the second evening. Please note accommodation is not included for this course (see link below for nearby B&Bs).
Tutors: Led by Professor Richard Riley, Dr Joie Ensor, Dr Miriam Hattle and Dr Brooke Levis.
Unfortunately this course has been cancelled but we intend to run it virtually in 2021. This page will be updated with details when they are available.
This three-day statistical course provides a detailed foundation of the methods and principles for meta-analysis when IPD (Individual Participant Data) are available from multiple related studies.
The course considers continuous, binary and time-to-event outcomes, and covers a variety of modelling options, including fixed effect and random effects. Days 1 and 2 mainly focus on the synthesis of IPD from randomised trials of interventions, where the aim is to summarise a treatment effect or to examine treatment-covariate interactions. We outline how to use either a two-stage framework (day 1) or a one-stage framework (day 2) for the meta-analysis, and compare their pros and cons.
Day 3 focuses on novel extensions including multivariate and network meta-analysis of IPD to incorporate correlated and indirect evidence (e.g. from multiple outcomes or multiple treatment comparisons). Special topics will also be covered, including: (i) IPD meta-analysis to identify prognostic/risk factors, (ii) IPD meta-analysis of test accuracy studies; (iii) estimating the power of a planned IPD meta-analysis; and (iv) dealing with unavailable IPD. The course consists of a mixture of lectures and practical sessions to reinforce the underlying statistical concepts. Participants can choose either Stata or R for the practicals. The key messages are illustrated with real examples throughout the course.
Who is the course for?
The course is aimed at individuals that want to learn how to plan and undertake 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 is 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 must bring their own laptop with R installed, or with Stata 13 or above installed.
Staying over?
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