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The FAO-56 manual recommends to estimate the missing variables based on those currently observed (PM-R), or use the less demanding Hargreaves and Samani method (HS).
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We computed alternative coefficients for the available items based on regression models without the missing variables.
Because we have complete data for Iceland, in this paper we elicit informative priors based on the known distributions of the missing variables.
After excluding 122 patients with missing variables, 424 were analyzed.
The unknown variables were considered missing variables.
We excluded missing variables from our analyses.
Missing variables for ongoing PTSD was < 1%.
For missing variables, multiple imputation was applied.
For missing data the FI was calculated based on the items which were present, i.e. the missing variable was excluded from both the numerator and the denominator.
Persons missing data for variables under study were excluded from any analysis involving the missing variable.
We obtained ten imputation data sets from multiple imputation by chained equations using IVEware (version 0.1; University of Michigan, Ann Arbor, MI), which fits a series of regression models conditional on other variables and imputes missing data based on the values predicted for each participant in these models (Raghunathan et al. 2001, 2009).
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