| 来源类型 | Publication |
| A COVID-19 Primer: Analyzing Health Care Claims, Administrative Data, and Public Use Files | |
| Alex Bohl; Michelle Roozeboom-Baker | |
| 发表日期 | 2020-06-19 |
| 出版者 | Princeton, NJ: Mathematica |
| 出版年 | 2020 |
| 语种 | 英语 |
| 概述 | This primer is designed to help researchers, data scientists, and others who analyze health care claims or administrative data (herein referred to as “claims”) quickly join the effort to better understand, track, and contain COVID-19.", |
| 摘要 | Updates to the fourth edition include information on:
As COVID-19 disrupts people’s lives and livelihoods and threatens institutions around the world, the need for fast, data-driven solutions to combat the crisis is growing. This primer is designed to help researchers, data scientists, and others who analyze health care claims or administrative data (herein referred to as “claims”) quickly join the effort to better understand, track, and contain COVID-19. Readers can use this guidance to help them assess data on health care use and costs linked to COVID-19, create models for risk identification, and pinpoint complications that may follow a COVID-19 diagnosis. |
| URL | https://www.mathematica.org/our-publications-and-findings/publications/a-covid-19-primer-analyzing-health-care-claims-administrative-data-and-public-use-files |
| 来源智库 | Mathematica Policy Research (United States) |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/489871 |
| 推荐引用方式 GB/T 7714 | Alex Bohl,Michelle Roozeboom-Baker. A COVID-19 Primer: Analyzing Health Care Claims, Administrative Data, and Public Use Files. 2020. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| COVID Primer.pdf（321KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
