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This approach was incorrect, and the targeted power (at the p=0.05 level) should instead have been increased without altering the p-value threshold.
Similar(59)
We argue that the test statistics drawn from what we call the "standard" approach are incorrect.
Both the hypothetical and clinical example show that this approach is incorrect and can result in relevant residual confounding.
We clarify that this was due to the incorrect calculation of marginal predictions from a random intercepts model and explain intuitively why this approach is incorrect.
Third, sensitivity and specificity of the STRATIFY tool for falls, which were calculated by the standard approach, might be incorrect because falls might be recurrent and time-dependent [ 31].
The advice was incorrect.
He was incorrect.
That was incorrect.
His weight was incorrect.
This was incorrect.
The 160 was incorrect".
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com