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Better to test sparingly, and expose from time to time what is apparently the odd bad apple, rather than do the job thoroughly and find the whole barrel is spoiled and your sport has suddenly vanished in a hailstorm of disqualifications.This attitude, however, would result in precisely the outcome testing is supposed to obviate.
General linear model using GAF as outcome testing change in BPRS or SAI E (6-12 months) additionally controlling for baseline SAI E and BPRS.
The recycled predictions approach predicts the outcome (testing) assuming that everyone in the dataset was treated as if they first did and then did not have RA.
General linear model using GAF as outcome testing change in BPRS or SAI E (6-12 months) controlling for baseline BPRS or SAI E and other covariates.
General linear model using GAF as outcome testing change in BPRS and SAI E (baseline to 6 months) controlling for baseline SAI E or BPRS respectively and other covariates.
Similar(55)
Therefore, the drug tested may falsely be found protective against the outcome tested.
*Primary outcome tested at P <0.05.
†Secondary outcome tested at P <0.025.
Test results of all associations are shown for each outcome tested.
Current risk assessment is based on mercury effects on single outcome tests [ 4].
There was no restriction on intervention type or the outcome tested.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com