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Exact(7)
**8 missing values, including 'don't know' answers.
**12 missing values, including 'don't know/not applicable' answers.
Missing values (including responses of don't know) were excluded from proportion calculations.
Eleven variables had no missing values, including cardiac risk score use.
Sensitivity analyses were performed under various assumptions on the imputation of missing values, including LOCF imputation of missing scores.
However, few items had higher prevalence of missing values including descending stairs, standing, getting in and out of bath, being involved in heavy domestic duties (moving heavy boxes, scrubbing floors etc).. Consequently, 1339 (64.9%) patients of the 2062 patients had completed all items of the WOMAC.
Similar(53)
Percentages of agreement were calculated with missing values included and excluded.
The reasons for missing values include insufficient resolution, image corruption, and dust or scratches on the slide.
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.
More suggestions(15)
missing values include
missing atoms including
missing women including
missing outcomes including
missing plants including
missing teeth including
missing beats including
missing data including
missing scores including
missing people including
missing adults including
missing ESAGs including
missing refugees including
missing papers including
missing extras including
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com