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For example, the authors stated that "hybrid test statistics provide much needed robustness in terms of power for association tests", whereas we observed that only minimum p-value approach really preserves power when one of the underlying tests underperforms.
Hence, MinP-val approach is more robust with respect to underperformance of one of the underlying tests.
Given the sensitivity of SumP-val approach to underperformance of one of the underlying tests, this method showed higher p-values.
Depending on the disease model, one of the underlying tests (genotype- or haplotype-based) is expected to be more powerful than the other underlying test.
Also extensions have been suggested [ 136] that allow the control of an error measure in cases where the underlying tests are not independent from each other.
Secondly, the authors found that in many cases Fisher method outperforms both of the underlying tests, and the minimum p-value approach.
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In this context, asynchronous tests can be more appropriate, reflecting the underlying test architecture which includes queues.
In particular, test cases can be conceived and implemented by means of an XML-based test procedure language, independently from the underlying test environment.
This manuscript proposes a test automation framework, which uses an XML-based test procedure language independent of the underlying test environment.
Specifically, it describes the source of existing data, comments on the robustness of the underlying test procedures and presents a new approach to data classification and conflation.
Moreover, the underlying testing criteria (rhythm, direction and velocity of the ball feeding) and player movement characteristics (strokes, running details) are difficult to standardise.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com