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Risk of bias table for included randomized control trials.
Random allocation does not, however, protect RCTs against other types of bias (Table 2) [21].
The shortcoming of large batches emphasizes the need for computational tools that can correct such bias (Table 2).
All eight trials were evaluated as high risk of bias (Table 3), which impacts on the interpretation of results [20].
The results, which are, to a great extent, identical to the available literature, appear not to express an undue bias (Table 1).
No study had a high risk of bias, and consequently no further study was excluded at this stage because of bias (Table 2).
Furthermore, the 10% sample was representative of the whole sample set and unlikely to have introduced bias (Table 7).
In the case of GC-TRFLP data, both Fisher's log-series and power-law communities were no longer recognized as such following simulated PCR bias (Table 4).
In our simulations, none of the datasets that contained loci 5 kb in length or longer showed the downward bias (Table 1).
The Fisher's log-series and power-law distributions were both erroneously rejected for communities assembled with each of these functions following application of PCR bias (Table 4).
Additional File 2 presents the risk of bias table.
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