To study the impact of the remaining covariates of interest, we extended the meta-analysis model to a meta-regression model for the sake of statistical efficiency.
However, alternative, but approximate, methods for obtaining confidence intervals are also available in the meta-analysis setting [ 9] that could also be extended to meta-regression.
More specific developments for analyzing ordinal data in the context of meta-analysis of clinical trials have been proposed initially for summary statistics [ 5, 6], secondarily extended to meta-analysis with individual patient's data [ 7, 8].
Our approach differed in that we extended this meta-regression approach to NMAs.
We extended this meta-analysis by confirming expression of these miRNAs in cell-lines used in the uAUG studies.
First, we extended a meta-regression model that allows the effect size to depend on its standard error.
We also extended the meta-analysis to include genotype data of a subset of SNPs from the Japanese Centenarian Study [ 4].
First, we extended a meta-regression model of the effect size on its standard error, recently described for MAs [ 21, 22].
It would be useful, and practically important, to extend the POR model such that it incorporates such sequence of testing and a priori results; 3. the utility of POR model may be extended to meta-analysis of therapeutics.
It has been shown that this approach increases the overlap between different screens for the same virus at the pathway level [ 24], and the method can be extended to meta-analysis of screens targeting different viruses.
In a cross-species comparison, we extended the meta-assembly by comparing QTL regions of sheep and cattle, which provided strong evidence for synteny conservation of QTL regions for milk, fat, protein and somatic cell score data between cattle and sheep.
