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Missing data on demographic variables were imputed based on all other demographic variables, the counselor id-number and treatment status.
Missing demographic variables assumed invariant over time (e.g., ethnicity and gender) and logically structured over time (e.g., age) were imputed based on the available variable value at the observed assessment wave.
Respondents with two or less missing data points (n = 44) had values imputed based on their respective variable mode and respondents presenting with more than two missing data points (n = 7) were removed from further analyses.
Missing predictor values (2% of all required values) were imputed based on the correlation with the other predictor variables (He and Shen, 1997).
When either x i or y i is MAR and the other variable is < LOD, the < LOD value is imputed based on the estimated marginal distribution (a truncated univariate normal).
Finally, missing observations were imputed based on proximate years using a custom multiple-imputation algorithm [ 14].
Patients with missing data in variables needed for score calculation are either excluded from prognostic estimation, or their missing values are imputed based on similar available information, or normal values are simply assumed.
1Mortality is imputed based on NHIS-NDI data. 2 Internal Migration is imputed based on the March CPS.
*=restriction is based on grade completion (ages are imputed based on scheduled school progression).
In the former, weights are imputed based on results from previous studies.
With priors in hand, missing values are imputed based on the final converged estimates for each of the m datasets.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com