Sentence examples for missing demographic variables from inspiring English sources

Missing demographic variables assumed invariant over time (e.g., ethnicity and gender) and logically structured over time (e.g., age) were imputed based on the available variable value at the observed assessment wave.

Education was the most common missing demographic variable in both panels, followed by marital status in Panel 2 and duty occupation in Panel 3. The greater proportion of non-responders missing demographic information may have been due to recent separation from service, since those no longer serving may have missing values in the database.

We excluded participants for the following reasons: 632 (13.7%) refused medical record review, 49 (1.0%) were non-English speakers; 8 (0.2%) had incomplete medical records (missing paper chart), 12 (0.003%) had missing depression status, and 199 (0.05%) had missing demographic or clinical variables.

When doing multiple imputations, it is appropriate to include as many variables as possible to impute values for missing demographic and risk factor variables [ 37].

Missing demographic data for the remaining 876 women was approximately 5% for most variables, but slightly higher for birthplace and migration year (8% and 10%).

Overall, the participants had very little missing demographic information (<1%), and we excluded subjects from the analysis if they had missing data on certain variables.

*) Missing demographic data for up to N = 12 means that sample N will be less than 182 on some variables.

Listwise deletion was used for missing demographic data.

Some missing demographic data.

There was less than 0.5% missing data in demographic variables and 10% in income quintiles; missing categories were excluded from the regression analyses.

Only data from respondents who had no missing data on the variables of interest were included in each analysis; missing data on demographic variables reduced sample sizes slightly below the total number of cases available (see ns in tables).