Improved Inference for Respondent-Driven Sampling Data With Application to HIV Prevalence Estimation
受访者驱动抽样的改进推断及 HIV 患病率估计应用
Respondent-driven sampling is a form of link-tracing network sampling, which is widely used to study hard-to-reach populations, often to estimate population proportions. Previous treatments of this process have used a with-replacement approximation, which we show induces bias in estimates for large sample fractions and differential network connectedness by characteristic of interest. We present a treatment of respondent-driven sampling as a successive sampling process.…