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Item (5) investigated the participants' preferences of error correction techniques.
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As a point of reference our analysis starts with the standard Multinomial Logit (MNL) model that assumes homogeneity of preferences and error variances in our sample.
However, this can be set against the high preferences of patients towards disclosure of errors and the provision of more information about the underlying disease shown by some studies [ 33, 44].
While big data looks for patterns of preferences, Soros often looks for patterns of error.
The only way to know nonvoters' preferences is through the infrequent public opinion polls -- with their inherent degrees of error in sampling and measurement -- that bother to address them.
ZERO margin of error".
Lots of error".
What kind of error?
No possibility of error.
** five percent margin of error.
In case of error.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com