NSDUH 2017 Editing and Imputation Report
Description:
This report focuses on the editing and statistical imputation procedures that were applied to respondent data for the 2017 NSDUH. Logical editing uses data from elsewhere within the same respondent's record to reduce the occurrence of missing or ambiguous data or to resolve inconsistencies between related variables. Imputation is defined as the replacement of missing values with valid, nonmissing values. Statistical imputation usually involves some randomness to preserve the natural variability in the data.
Publication Date:
May 9, 2019
Collection Date:
2017
Data Source:
Report Type:
Reference Material
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- (pdf | 9.69 MB)
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Report Resources
Find crosswalks, public use files, and more on the NSDUH datafiles page.