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Analysis of Sampling Bias in Large Health Care Claims Databases

This cross-sectional study characterizes variation in sampling in a large health care claims database at the zip code level in 2018 and assesses whether socioeconomic and demographic factors are associated with inclusion.

Detalles Bibliográficos
Autores principales: Dahlen, Alex, Charu, Vivek
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9857613/
https://www.ncbi.nlm.nih.gov/pubmed/36607640
http://dx.doi.org/10.1001/jamanetworkopen.2022.49804
Descripción
Sumario:This cross-sectional study characterizes variation in sampling in a large health care claims database at the zip code level in 2018 and assesses whether socioeconomic and demographic factors are associated with inclusion.