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Patterns of missingness were examined and less than 5% of cases had no missing information.
Other than implementing Heckman probit models to address this issue statistically, we performed standard checks to identify patterns of missingness and, similar to other recent analyses of the SVORI data (Link & Roman, 2017; Stansfield, Mowen, O'Connor, & Boman, 2016) did not find significant differences between attriters and nonattriters on key variables in our analysis.
Patterns of missingness appeared to vary by country.
Patterns of missingness are described as either monotone (terminal), intermittent or mixed.
We found no clear patterns of missingness in relation to our key variables gender, age and area income deprivation.
Approximating the patterns of missingness seen in an incomplete dataset provided a realistic framework for simulating the missing data.
Similar(38)
Having determined the pattern of missingness, we next needed to determine the mechanism driving it.
We used the marginal BF software to check this assumption by investigating whether a SNP's pattern of missingness was conditionally independent of case-control status given the observed data we have for explaining missingness.
The pattern of missingness by treatment group is shown in Table 4.
The domains were administered in random order and no pattern of missingness was observed.
The pattern of missingness will be assessed and missing values handled adequately.
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