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The multivariate model had 33 cases with missing values, leaving data from 243 persons for the multivariate model.
During model selection, five patients from the Glasgow dataset and one patient from the London dataset were excluded from subsequent data analysis due to missing values, leaving 79 and 114 patients in each group, respectively.
We excluded 1,936 individuals with missing data for BMI, and we created for all other covariates a separate category for missing values, leaving 60,076 cohort members in all analyses.
We statistically imputed these missing values, leaving 2,128 patients for analysis, of whom 347 were in mRS grade 0 (16%), 583 in mRS grade 1 (27%), 528 in mRS grade 2 (25%), 296 in mRS grade 3 (14%), 80 in mRS grade 4 (4%), 135 in mRS grade 5 (6%) at the two month assessment, and of whom 1598(8%) died before the two month assessment.
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The top portion of Table 2 illustrates the construction of the analysis samples of matched observations from the initial complete samples of unemployed individuals in the monthly CPS surveys.11 The complete set of restrictions, including two-month forward matches and elimination of observations with missing values, leaves about 40percentt of the original sample of unemployed individuals.
In order to avoid missing values, left and right herniation were removed from the analysis (NRemainingPFtraits = 24).
Missing values were left blank and analysis was performed on the values given.
Features with missing values were removed leaving 4157 for Pearson correlation analysis.
In several instances however, no voxel survived thresholding, and therefore a volume of 0 was attributed and the corresponding FA value was treated as missing value (one left uncinate, five right uncinate, and seven right arcuate fasciculi) (see Fig. 3 for illustrative examples).
Five of the dropouts did complete follow-up questionnaires, leaving missing values of only two individuals.
We excluded observations with missing values in our analysis, leaving 1198 observations in Gansu and 1357 observations in Zhejiang.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com