Analysis of Sampling Bias in Large Health Care Claims Databases

Author:

Dahlen Alex1,Charu Vivek12

Affiliation:

1. Quantitative Sciences Unit, Department of Medicine, Stanford University School of Medicine, Stanford, California

2. Department of Pathology, Stanford University School of Medicine, Stanford, California

Abstract

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.

Publisher

American Medical Association (AMA)

Subject

General Medicine

Reference6 articles.

1. Trends in Utilization of Prescribed Controlled Substances in US Commercially Insured Adults, 2004-2019.;Bykov;JAMA Intern Med,2020

2. Racial/ethnic and socioeconomic disparities in management of incident paroxysmal atrial fibrillation.;Eberly;JAMA Netw Open,2021

3. The social determinants of health: it’s time to consider the causes of the causes.;Braveman;Public Health Rep,2014

4. Key considerations when using health insurance claims data in advanced data analyses: an experience report.;Konrad,2017

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3