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Of the 8815 participants who took part in the phase 3 examination (that is, the baseline of the analyses reported here), we excluded 1578 for one or more of the following reasons: prevalent type 2 diabetes at phase 3 (n=162), missing follow-up on type 2 diabetes status (n=588), and missing data on risk factors/markers at phase 1 (n=1392).
Exclusions affected prevalent T2DM cases (n = 2383), participants with missing follow-up data on diabetes status (n = 713) and four non-type 2 diabetics.
Missing follow-up values were imputed based on the available follow-up scores using the EM algorithm, assuming that missing data occurred completely at random (MCAR) [ 16].
Of the total sample, five patients were missing follow-up information, eleven had data on fewer than nine SNP markers and two had nonbreast malignancies (tubular adenoma, B-cell lymphoma in the breast).
For the primary analysis on body weight, missing follow-up body weight was imputed.
Twenty-seven cases were excluded based on the following criteria: missing MSS/MSI status (n=11), missing follow-up (n=6), follow-up <40 months (n=1) or distant recurrence to sites other than liver or lungs (n=9).
Due to the considerable amount of missing follow-up data, missing data were imputed using multiple imputation (MI) based on Multivariate Imputation by Chained Equations (MICE) [ 17].
Inadequate case definition or missing follow-up times.
(2) Inadequate case definition or missing follow-up times.
Sensitivity analysis will evaluate missing at random assumptions for missing follow-up data.
Missing follow-up results is another important limitation.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com