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NSDUH 2018 Editing and Imputation Report

Metadata Updated: September 6, 2025

This report focuses on the editing and statistical imputation procedures that were applied to respondent data for the 2018 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.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources

Dates

Metadata Created Date July 24, 2025
Metadata Updated Date September 6, 2025

Metadata Source

Harvested from Healthdata.gov

Additional Metadata

Resource Type Dataset
Metadata Created Date July 24, 2025
Metadata Updated Date September 6, 2025
Publisher Substance Abuse and Mental Health Services Administration
Maintainer
Identifier https://healthdata.gov/api/views/5n8p-9gan
Data First Published 2025-07-14
Data Last Modified 2025-09-06
Category SAMHSA
Public Access Level public
Bureau Code 009:30
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://healthdata.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id a413e624-a222-461c-89f2-4577176d1eba
Harvest Source Id 651e43b2-321c-4e4c-b86a-835cfc342cb0
Harvest Source Title Healthdata.gov
Homepage URL https://healthdata.gov/d/5n8p-9gan
Program Code 009:061
Source Datajson Identifier True
Source Hash ba219e9fd9d8cf7d01167992a530c28319b2a08c895b7e9786f75b94e6e5dcec
Source Schema Version 1.1

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