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The critical assumption of a Naïve Bayes classifier is the conditional independence of the set of attributes that describes each x ∈ X instance of the target function f: X → Y. Like in the SVM method, no clear classification model is provided to the investigator, who can only perform a "blind" assignment of specimen to species.
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In order to preserve the double-blind assignment, treatments were prepared by a third person not being involved in the evaluation of subjects.
They reported that explaining double-blind assignment to volunteers would pose problems for trial recruitment and retention: Community will not accept if we tell like this; even people who accepted [to participate] earlier will now not accept, because they would be afraid that they are being cheated…they would not understand.
To ensure blinding, assignments were disclosed to analysis only after the results had been delivered.
Caregivers were blind to assignment.
E. Were the participants blind to assignment status after allocation?
E. Were the subjects blind to assignment status after allocation?
F. Were the treatment providers blind to assignment status?
The patient, research nurse, and evaluating physician were blinded to assignment.
However; researchers and statisticians, who will obtain and assess outcomes are blinded to assignment.
The care providers, who also assessed the end point, were blinded to assignment.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com