Sentence examples similar to evaluation of biases from inspiring English sources

The performance of the method was evaluated as described in the Evaluation of bias correction section.

The studies included were an inhomogeneous group and for this reason the evaluation of bias was omitted.

The systematic evaluation of bias or risk of bias remains an essential aspect of evidence synthesis, as it forces reviewers to critically examine trials.

These datasets are therefore well-suited to be used as reference data for the evaluation of bias factors in sample-based studies.

After calculating the true, observed and corrected areas under the curves, decision errors were assessed using the metrics described in the Evaluation of bias correction section.

For the evaluation of bias correction effects as well as comparison with other methods (Table 1), we used paired-end RNA-seq data from the microarray quality control (MAQC) project (Shi et al., 2006) (Short Read Archive accession number SRA012427), because it contains 907 transcripts which were also analyzed by TaqMan qRT-PCR, out of which 893 matched our reference annotation.

In an evaluation of bias that can result if the standard temporal method (Nei and Tajima 1981) is applied to iteroparous species with overlapping generations, Waples and Yokota (2007) used three model species one each with type I, type II, and type III survivorship.

However, recent evaluations of biases generated in high throughput sequencing data have pinpointed the amplification step as the primary cause [ 4, 5].

Evaluation of possible biases in data.

The evaluation of potential biases introduced at this step is challenging for metatranscriptomic samples, where data analyses are complex, for example because of the lack of reference genomes.

The components of the systematic review will be explained step by step: the research question, search strategy, inclusion and exclusion criteria and the selection of primary studies, data extraction, presentation of study characteristics, risk of bias assessment, estimation of the common effect, examination of study heterogeneity, and evaluation of publication bias.