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Difficulties in classifying items as potentially linked to bias have been acknowledged in previous studies that analyzed bias in different types of research designs [ 25, 28, 65].
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Future research is needed to analyze bias caused by band-width control.
We analyzed publication bias using funnel plots, which showed no evidence for publication bias in any of the risk estimates, intercepts, or slope estimates.
We also analyzed publication bias for 28-day mortality in the included studies.
But the case number was too small to be analyzed without bias.
Grouped measurements (252 data points) for APCO, ICO and CCO were analyzed for bias, precision and correlation via Bland Altman analysis.
To define the relationship between these two gene categories, we analyzed expression bias of the genes up-regulated in developing testes.
We then analyzed nucleotide bias at each position so as to understand whether the cleavage sites of miRNAs had specific features for miRNA [ 31].
As a further test, we analyzed potential bias for and against papers, which had, or did not have, at least one author belonging to an institution in an English-speaking country.
Here, we first analyzed the bias in estimating inter-species difference in expression caused by inter-species difference in mappability based on current annotations, using a published dataset consisting of RNA-seq and high-density exon array.
Additionally, prospective trials were identified and analyzed for potential study biases, study effects, and clinical study characteristics.
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