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Secondary abstinence outcomes were analysed for all 497 randomised participants, with missing data being regarded as indicating no smoking cessation.
MCAR means that that the probability of the pattern of missing data being as it is depends on neither the observed nor the missing data.
Overall, few data were missing in the dataset, with 2981 markers having no missing data at all and the maximum percentage of missing data being 5.2% and 10.2% per marker and per individual, respectively.
This failure to translate persists, despite papers regarding missing data, sensitivity analyses, and strategies for intention to treat in the presence of missing data being published in high impact medical journals [ 4, 16– 16].
The appropriate functional form for fitting the continuous covariate, age, in the regression model was assessed using fractional polynomials based on 500 full datasets, prior to missing data being imposed.
Intention-to-treat analysis was used to compare patients in the groups to which they were randomly assigned, with missing data being imputed using the SPSS linear interpolation procedure.
Similar(50)
The missing data were <1%.
Attention to missing data is particularly important.
Few missing data was also a strength.
Charts with missing data were deleted.
The rate of missing data was 2.4%.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com