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All randomized subjects will be included in the analysis and subjects not showing up at the follow-up visit or with a missing value on one of the two above measures are regarded as smokers (intention-to-treat analysis).
Participants with more than one missing value on any TOSCA subscale were excluded.
Scores were imputed for missing values only if the participant had no more than one missing value on a day (80% of data present).
b Two patients (one with and one without ACS) had missing value on V2-STamp.
In the single+multiple-imputation (SMI), each missing value on background variables is replaced by one value.
Of the 8,592 PREVEND subjects, 453 were excluded for this reason, and one additional subject was excluded due to a missing value on the selection variable (i.e., urinary albumin concentration), leaving an analysis sample of 8,138.
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Finally, we excluded 313 subjects who had missing values on one or more covariates.
Twentypercentt of the women (N = 1,576) had missing values on one or more covariates.
Second, we could use only 80percentt of peer responses due to missing values on one or more items.
A total of 522 datasets contain missing values on at least one page.
Respondents with missing values on all items in one index were not included in the analysis of that index.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com