Rejoinder to commentaries on ‘Multivariate meta‐analysis: Potential and promise’
By Dan Jackson, Ian R. White, R. Riley. 2011
166 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/2bad6dc13ca43e8cce29f29fc68ef4d8e1bf5052
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In Statistics and Probability
- Ian R. White
- Julian P. T. Higgins
- Dan Jackson
- Georgia Salanti
- Elizabeth Tipton
- E. Tanner‐Smith
- J. Barrett
- R. Cadario
Citations in the corpus
- Consistency and inconsistency in network meta-analysis: model estimation using multivariate meta-regression (2012, background): “…¼ xi1 0 ⋯ 0 0 xi2 ⋯ 0 ⋮ ⋮ ⋱ ⋮ 0 0 ⋯ xip 0 BB@ 1 CCA: (3) The multivariate meta-analysis model is the special case of (1) with Xi equal to the (p p) identity matrix, so that yi N a;Σþ Sið Þ (4) and a is a (1 p) vector of the overall means of the estimates (White, 2009; Jackson et al., 2011).”
- Robust variance estimation with dependent effect sizes: practical considerations including a software tutorial in Stata and spss (2014, methodology): “The focus is on practical advice for implementing RVE and not on comparing RVE with other methods; readers interested in other multivariate meta-analysis methods should see Jackson et al. (2011) or Mavridis and Salanti (2012).”
- Which Healthy Eating Nudges Work Best? A Meta-Analysis of Field Experiments (2018, background): “Multivariate models help to provide estimates with better statistical properties as well as reduce the risk of bias such that a significant result in univariate analyses may not hold using the multivariate model (Jackson et al. 2011).”