Although information on income (Lebanese Pounds) was collected during the face-to-face interviews, it was not included in the analysis because of the large number of missing cases.
Income was selected for imputation because it had the highest rate of missing cases; missing data on CVD risk factors (range: 0 16% missing; average: 7.3% missing per outcome) were not imputed since these outcomes are less predictable.
Furthermore, our claims data analysis has little chance of missing cases of AP because no secondary insurance policies are allowed in Japan and medical costs are not generally paid out-of-pocket by patients on insurance policies.
Because of the relatively small amount of missing data casewise exclusion of missing cases was performed.
Table 3 shows summary of missing cases.
By contrast, both the PHQ-9 and PHQ-2 have better sensitivity and specificity at the standard major depression cutpoints; however, compared to the 15-item GDS, both risk missing cases because of their lower sensitivity at those cutpoints.
The first two quartiles of cumulative exposure collapsed because of missing HCC cases.
Fifteen percent (205/1,324) were excluded because of missing data on case survival, including patients who were lost to follow-up or moved during treatment.
In total, 22 cases (4.4 %) were excluded because of missing FSA data (14 cases in 2007, 4 in 2008, and 4 in 2009).
The frequency calculations differed by variable because of missing values in some cases (e.g. participant did not answer a question).
