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The Berger-Exner test has been applied for bias testing.
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To evaluate participant dropout bias, testing for missing at random (MAR) data will be performed.
Different amounts of bacterial genomic DNA (100 ng, 10 ng and 1 ng) and their corresponding ILP-PCR products were used for the bias test.
The results for publication bias test were showed in Table 3.
Besides, numbers of included studies were relatively small, so the power for publication bias test was relatively low.
SNV calling statistics for strand bias tests applied to the raw results of both ShoRAH and VarScan are given in Table 3.
Test for bias: Make sure to incorporate bias testing into the quality assurance processes of your AI algorithms.
However, in order to minimise the potential for bias, all testing procedures and conditions were standardised for each subject.
Paired t-test was used to control for bias between test occasions on the group level.
In this respect, our approach may provide null expectations for PCR-bias testing.
For each scenario, the power and the type I error rate for the publication bias tests were also investigated.
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