论文标题
马里兰州大学和卡内基·梅隆大学（University of Carnegie Mellon University
Weights and Methodology Brief for the COVID-19 Symptom Survey by University of Maryland and Carnegie Mellon University, in Partnership with Facebook
论文作者
论文摘要
Facebook正在与学术机构合作，以支持COVID-19的研究。目前，我们正在邀请美国的Facebook应用程序用户接受卡内基·梅隆大学（CMU）Delphi研究中心收集的调查，我们邀请全球200多个国家或地区的Facebook App用户接受由马里兰大学（Maryland University）（UMD）联合计划的调查方法（JPSM）收集的调查（JPSM）。作为该计划的一部分，我们将调查统计数据中的最佳实践设计和执行两个组成部分：（1）抽样设计和（2）调查权重，这使得样本更具代表一般人群的代表。本文介绍了我们在这些工作中使用的方法，以允许数据用户使用权重执行分析。
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.
