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Exact(5)
Percentages of agreement were calculated with missing values included and excluded.
Paternal industrial sectors with the highest proportion of missing values included administration and support (38%), accommodation and food services (25%), and construction (24%).
The imputation model of missing values included all dependent and independent variables of logistic models plus sampling design variables (primary sampling unit, stratum).
Also, we conducted additional analyses with all missing values included by separate dummy variables, but again the odds ratios did not change remarkably.
Our analysis was based on five imputed datasets in which the imputation model included all variables in the outcome model (ICD use outcomes and potential confounders) as well as variables related to missingness (see appendix 4 for potential predictors of missing values included in the imputation model).
Similar(55)
**8 missing values, including 'don't know' answers.
**12 missing values, including 'don't know/not applicable' answers.
Eleven variables had no missing values, including cardiac risk score use.
Missing values (including responses of don't know) were excluded from proportion calculations.
Sensitivity analyses were performed under various assumptions on the imputation of missing values, including LOCF imputation of missing scores.
The reasons for missing values include insufficient resolution, image corruption, and dust or scratches on the slide.
Related(18)
missing values excluded
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missing doses included
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missing data included
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missing belongings included
missing medications included
missing thousands included
missing winners included
missing visits included
missing documents included
missing fields included
missing covariates included
missing species included
missing sections included
missing values particularly
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