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Improving the Representativeness of the Tribal Behavioral Risk Factor Surveillance System Through Data Integration

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Description
Examines the effectiveness of utilizing data integration methods to improve representation of American Indian/Alaska Native (AI/AN) populations in the Tribal Behavioral Risk Factor Surveillance System (TBRFSS). Provides comparisons of data before and after selected data integration methods and discusses the usefulness of calibration and sequential mass imputation as methods to improve representation.
Author(s)
Sixia Chen, Janis Campbell, Erin Spain, Alexandra Woodruff, Cuyler Snider
Citation
BMC Public Health, 23, 273
Date
02/2023
Tagged as
Culture · Research methods and resources · Statistics and data · Tribal communities