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For non-injured individuals data confidentiality considerations required the deprivation and distance measures be imputed.
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Missing data for cognitive measures were imputed using the EM algorithm in SPSS.
To comply with a more comprehensive intention-to-treat strategy we did a secondary analysis where the last observed measures were imputed for missing data.
Missing postbaseline PRO measures were imputed by the last observation carried forward method using values obtained at the time of each participant's termination.
The missing depression measures were imputed using PROC MI and the results from the multiple, imputed data sets were aggregated using PROC MIAnalyze in SAS version 9.1 (SAS Institute, Cary, NC).
The secondary analysis (intention-to-treat) where the last observed measures were imputed for missing data did not change the results with lack of statistically significant differences between the groups (data not shown).
To perform analyses according to the principle of intention-to-treat, missing observations at follow-up on the outcome measure were imputed with multiple imputation techniques.
In a previous study [29], plot-level aboveground tree biomass at the 89 sample plots was measured and then those measurements were imputed to similarly sized map cells derived from the LiDAR, to form a study area-wide biomass map.
In a previous study [ 29], plot-level aboveground tree biomass at the 89 sample plots was measured and then those measurements were imputed to similarly sized map cells derived from the LiDAR, to form a study area-wide biomass map.
For the secondary outcome measures, missing values will be imputed by multiple imputation techniques.
Missing data for individuals will be imputed using measures on individuals with comparable scores in other known values.
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