Using Multiple Data Sources to Improve Respondent Driven Sampling Estimation

使用多个数据源改进受访者驱动的抽样估计

• 批准号: 8665821
• 负责人: Giovanna M Merli
• 金额: $ 18.61万
• 依托单位: DUKE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-04-15 至 2016-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8665821
• 关键词: AIDS/HIV problem; Accounting; Address; Centers for Disease Control and Prevention (U.S.); Characteristics; China; Clinic; Communicable Diseases; Communities; Data; Data Analyses; Data Collection; Data Sources; Development; Effectiveness; Evaluation; Female; Geography; Guidelines; HIV; Health; Health behavior; Infection; Injecting drug user; Interview; Investments; Laboratories; Lead; Methodology; Methods; Modeling; Participant; Population; Population Group; Prevalence; Preventive; Probability; Probability Samples; Procedures; Process; Production; Protocols documentation; Province; Recruitment Activity; Research; Research Personnel; Respondent; Rest; Risk Behaviors; Running; Sampling; Sampling Studies; Scheme; Sexually Transmitted Diseases; Simulate; Social Network; Statistical Models; Structure; Surveys; Techniques; base; design; disorder risk; high risk; improved; intravenous drug user; men who have sex with men; population health; sex; simulation; virtual

DESCRIPTION (provided by applicant): Using Multiple Data Sources to Improve Respondent Driven Sampling Estimation ABSTRACT: This study addresses efforts to obtain valid estimates of the prevalence of sexually transmitted disease (STD) infection and risky and preventive health behaviors in a hidden population, female sex workers in China. We take advantage of multiple observations schemas to improve the utility of Respondent Driven Sampling (RDS). RDS is an increasingly popular sampling method used to recruit samples of hidden populations with the aim to provide a probability-based inferential structure for representations of populations such as injection drug users, sex workers, men who have sex with men and population groups whose status characteristics are not likely to be revealed by omnibus survey research because they are rare and socially stigmatized and/or illegal. RDS capitalizes on the social network structure of the hidden population to identify and interview participants. Its validity rests on stringent theoretical assumptions about the referral practices of participants to new participants and the structure of the underlying network that are not observed. Despite significant investments by CDC and similar organizations in RDS, we have few empirical evaluations of its effectiveness at keeping its representation promise. Here we propose to improve RDS for representation of female sex workers in China by moving considerations regarding real-world referral processes from the theoretical to the empirical realms. We accomplish this with a combination of analyses of data we have recently collected through two RDS studies and a venue-based sampling approach in Shanghai and Liuzhou (Guangxi Province). We use this overlapping data collection to observe the social network information embedded in the RDS recruitment process and to realistically simulate RDS settings in order to develop improved RDS estimates adaptive to the observed network referral process. We distill guidelines for researchers using RDS methods on needed steps to improve RDS estimation for representation of other hidden populations.

描述（由申请人提供）：使用多个数据源，以改善受访者驱动的抽样估计摘要：这项研究致力于获得有效的估计流行性传播疾病（STD）感染和危险的和预防性的健康行为在一个隐藏的人群，女性性工作者在中国。我们利用多个观察方案，以提高响应者驱动采样（RDS）的效用。RDS是一种越来越流行的抽样方法，用于招募隐藏人口的样本，目的是为注射毒品使用者、性工作者、男男性行为者和综合调查研究不太可能揭示其地位特征的人口群体提供一个基于概率的推理结构，因为他们是罕见的，社会上的耻辱和/或非法的。RDS利用隐藏人群的社会网络结构来识别和采访参与者。它的有效性依赖于严格的理论假设，参与者的推荐实践，新的参与者和结构的基础网络，没有观察到。尽管CDC和类似组织在RDS中进行了大量投资，但我们对其在保持其代表性承诺方面的有效性几乎没有经验评估。在这里，我们建议改善RDS的女性性工作者在中国的代表性，从理论到实证领域的考虑，对现实世界的转介过程。我们完成了这一点，我们最近通过两个RDS研究和场地为基础的抽样方法在上海和柳州（广西省）收集的数据相结合的分析。我们使用这种重叠的数据收集来观察嵌入在RDS招聘过程中的社交网络信息，并逼真地模拟RDS设置，以开发适应所观察到的网络转介过程的改进的RDS估计。我们提取的指导方针，研究人员使用RDS方法所需的步骤，以提高RDS估计代表其他隐藏的人口。

项目成果

Sexual Mixing in Shanghai: Are Heterosexual Contact Patterns Compatible With an HIV/AIDS Epidemic?

上海的性混合：异性接触模式与艾滋病毒/艾滋病流行相适应吗？

• DOI: 10.1007/s13524-015-0383-4
• 发表时间: 2015
• 期刊: Demography
• 影响因子: 3.5
• 作者: Merli,MGiovanna;Moody,James;Mendelsohn,Joshua;Gauthier,Robin
• 通讯作者: Gauthier,Robin

Sampling Migrants from their Social Networks: The Demography and Social Organization of Chinese Migrants in Dar es Salaam, Tanzania.

从社交网络中抽取移民样本：坦桑尼亚达累斯萨拉姆中国移民的人口统计和社会组织。

• DOI: 10.1093/migration/mnw004
• 发表时间: 2016
• 期刊: Migration studies
• 影响因子: 1.9
• 作者: Merli,MGiovanna;Verdery,Ashton;Mouw,Ted;Li,Jing
• 通讯作者: Li,Jing

Below replacement fertility preferences in Shanghai.

• DOI: 10.3917/pope.1103.0519
• 发表时间: 2011
• 期刊: Population
• 影响因子: 3.8
• 作者: Merli MG;Morgan SP
• 通讯作者: Morgan SP

An Empirical Analysis of the Impact of Recruitment Patterns on RDS Estimates among a Socially Ordered Population of Female Sex Workers in China.

中国女性性工作者社会有序群体中招聘模式对 RDS 估计影响的实证分析。

• DOI: 10.1177/0049124113494576
• 发表时间: 2013
• 期刊: Sociological methods & research
• 影响因子: 6.3
• 作者: Yamanis,ThespinaJ;Merli,MGiovanna;Neely,WilliamWhipple;Tian,FeliciaFeng;Moody,James;Tu,Xiaowen;Gao,Ersheng
• 通讯作者: Gao,Ersheng