The first multiple correspondence analyses conducted separately for the four organizational components led to the identification of four relevant dimensions: two for resources, one for structures, and one for practices (none for vision).
Four variables were used as predictors of the multiple correlation analyses conducted on MEG data and were labeled as Visual Complexity, Specific Semantic Features, Action Features, and Word Form, respectively.
Multiple analyses were conducted for at least 50 × 106 iterations each, with a burn-in of 10.
As with more ad hoc updating of meta-analyses, the threat of spurious results being obtained, due to multiple analyses being conducted as data accumulates within the framework, remains a possibility.
It should be pointed out that one of the limitations of the results presented in this study is that although multiple analyses were conducted none were subjected to a Bonferonni correction.
However, data were collected from eight centres in four countries, and multiple analyses were conducted to correct for such biases, and the study was sufficiently powered to detect clinically meaningful associations.
For each marker, multiple analyses were conducted with different random seeds to test convergence, and results from replicate runs were pooled with LogCombiner v2.1.2 and parameters were assessed using Tracer v1.4.1 [ 51].
That is to say, multiple interventions meta-analyses conducted in this framework seek to understand which components, or combinations of components, are associated with intervention effectiveness.
To enable multiple analyses to be conducted on a single snus extract, validated in-house analytical methods were modified by changing the solvent volume, extraction method, or application of internal standard.
