Estimating the Number of Persons with HIV in Jails Via Web Scraping and Record Linkage
该研究结合网络抓取和记录链接技术收集北卡罗来纳州部分县监狱数据，运用有限总体推断方法估计全州监狱HIV感染者人数，比较了结果回归和校准加权两种方法的表现。
This paper presents methods to estimate the number of persons with HIV in North Carolina jails by applying finite population inferential approaches to data collected using web scraping and record linkage techniques. Administrative data are linked with web-scraped rosters of incarcerated persons in a nonrandom subset of counties. Outcome regression and calibration weighting are adapted for state-level estimation. Methods are compared in simulations and are applied to data from the US state of North Carolina. Outcome regression yielded more precise inference and allowed for county-level estimates, an important study objective, while calibration weighting exhibited double robustness under misspecification of the outcome or weight model.