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Multiplicity adjustment for the primary endpoints was made by sequential testing with fixed sequences, in which the cure rate was analyzed first followed by the ocular pain-free rate.
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Hypothesis testing in the primary and major secondary analyses was controlled by sequential testing to adjust for multiplicity.
Participants with a positive HIV test result underwent sequential testing with the OraSure OraQuick HIV 1/2 test (OraSure Technologies, Bethlehem, PA, USA).
The sequential test with forward selection incorporated all variable sets except plant species into the model.
We used a sequential testing algorithm with three immunoenzymatic assays (EIA), which detect anti-HIV antibodies.
The discrepancy was growing with time in all 8 patients with sequential testing (figure 1).
Sequential testing of different females with each male allowed us to statistically control for male variation within populations.
In our study we extended previous simple approaches [3] [5] to study reliability in research scenarios with sequential testing.
All patients were tested for HIV infection with a sequential testing algorithm incorporating three rapid enzyme immunoassay kits.
With increasing breadth of testing, concurrent testing of both partners is far superior to sequential testing, as the reproductive risks are determined by the combined data.
In their task, a visual sample stimulus (A) was followed by one or more sequential test stimuli (BCDEA), and the monkey had to respond when presented with an item that matched the sample.
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