马里兰大学和卡内基梅隆大学与Facebook合作开展的COVID-19症状调查的权重和方法简介
Weights and Methodology Brief for the COVID-19 Symptom Survey by University of Maryland and Carnegie Mellon University, in Partnership with Facebook
摘要：
Facebook正在与学术机构合作，以支持COVID-19研究。目前，我们正在邀请美国的Facebook应用程序用户参加由卡内基梅隆大学（CMU）德尔菲研究中心（Delphi Research Center）教师收集的调查，我们正在邀请全球200多个国家或地区的Facebook应用程序用户参加由马里兰大学（UMD）调查方法联合项目（JPSM）教师收集的调查。作为这一举措的一部分，我们正在应用调查统计的最佳做法来设计和执行两个组成部分：（1）抽样设计和（2）调查权重，使样本更能代表一般人口。本文介绍了我们在这些努力中使用的方法，以允许数据用户使用权重执行他们的分析。
英文摘要：
Facebook is partnering with academic institutions to support COVID-19 research. Currently, we are inviting Facebook app users in the United States to take a survey collected by faculty at Carnegie Mellon University (CMU) Delphi Research Center, and we are inviting Facebook app users in more than 200 countries or territories globally to take a survey collected by faculty at the University of Maryland (UMD) Joint Program in Survey Methodology (JPSM). As part of this initiative, we are applying best practices from survey statistics to design and execute two components: (1) sampling design and (2) survey weights, which make the sample more representative of the general population. This paper describes the methods we used in these efforts in order to allow data users to execute their analyses using the weights.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
