This page contains the necessary material for a hands-on tutorial on multivariate meta-analysis using Stata. The tutorial will be offered as a lecture within the course "Systematic Reviews and Meta-analysis", which is a part of the curriculum leading towards a MSc degree in "Clinical Investigation" at the New York University School of Medicine. The course is organised by Dr Sripal Bangalore.
van Houwelingen HC, Arends LR, Stijnen T. Advanced methods in meta-analysis: multivariate approach and meta-regression. Stat Med. 2002;21(4):589-624.[PDF]
Riley RD, Thompson JR, Abrams KR (2008) An alternative model for bivariate random-effects meta-analysis when the within-study correlations are unknown. Biostatistics 9(1): 172-186 [PDF]
Riley RD, Abrams KR, Sutton AJ, Lambert PC, Thompson JR. Bivariate random-effects meta-analysis and the estimation of between-study correlation. BMC Med Res Methodol. 2007 12;7:3. [PDF]
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Harbord RM, Deeks JJ, Egger M, Whiting P, Sterne JA (2007) A unification of models for meta-analysis of diagnostic accuracy studies. Biostatistics 8(2): 239-251 [PDF]
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Lu G, Ades AE (2004) Combination of direct and indirect evidence in mixed treatment comparisons. Stat Med 23(20): 3105-3124
Arends LR, Hamza TH, van Houwelingen JC, Heijenbrok-Kal MH, Hunink MG, Stijnen T. Bivariate random effects meta-analysis of ROC curves. Med Decis Making 2008, 28(5):621-638.
Jackson D, Riley R, White IR.Multivariate meta-analysis: Potential and promise. Stat Med. 2011 Jan 26. doi: 10.1002/sim.4172. [Epub ahead of print]
Jackson D, White IR, Thompson SG: Extending DerSimonian and Laird's methodology to perform multivariate random effects meta-analyses. Stat Med 2010, 29:1282-129
Bagos PG. On the covariance of two correlated log-Odds Ratios. Statistics in Medicine. 2012 [PDF]
Bagos PG. A unification of multivariate methods for meta-analysis of genetic association studies. 2008, Statistical Applications in Genetics and Molecular Biology, 7(1), Article 13 [PDF]
Minelli C, Thompson JR, Abrams KR, Thakkinstian A, Attia J (2005) The choice of a genetic model in the meta-analysis of molecular association studies. Int J Epidemiol 34(6): 1319-1328 [PDF]