Propensity score analysis for a semi-continuous exposure variable: a study of gestational alcohol exposure and childhood cognition [0.03%]
半连续型暴露变量的倾向值分析及其在妊娠期饮酒与儿童认知关系研究中的应用
Tugba Akkaya Hocagil,Richard J Cook,Sandra W Jacobson et al.
Tugba Akkaya Hocagil et al.
Propensity score methodology has become increasingly popular in recent years as a tool for estimating causal effects in observational studies. Much of the related research has been directed at settings with binary or discrete exposure varia...
Can incentives improve survey data quality in developing countries?: results from a field experiment in India [0.03%]
激励能否提高发展中国家的调查数据质量？印度的一个实地实验结果
Guy Stecklov,Alexander Weinreb,Calogero Carletto
Guy Stecklov
We report results of an experiment designed to assess whether the payment of contingent incentives to respondents in Karnataka, India, impacts the quality of survey data. Of 2276 households sampled at the city block level, 934 were randomly...
Johan Koskinen,Tom A B Snijders
Johan Koskinen
Stochastic actor-oriented models (SAOMs) are a modelling framework for analysing network dynamics using network panel data. This paper extends the SAOM to the analysis of multilevel network panels through a random coefficient model, estimat...
When the Ends do not Justify the Means: Learning Who is Predicted to Have Harmful Indirect Effects [0.03%]
当目的不能证明手段正当之时：学习预测具有有害间接效应的人
Kara E Rudolph,Iván Díaz
Kara E Rudolph
There is a growing literature on finding rules by which to assign treatment based on an individual's characteristics such that a desired outcome under the intervention is maximized. A related goal entails identifying a subpopulation of indi...
An integrated abundance model for estimating county-level prevalence of opioid misuse in Ohio [0.03%]
俄亥俄州县一级阿片类药物滥用患病率的综合丰度模型估算
Staci A Hepler,David M Kline,Andrea Bonny et al.
Staci A Hepler et al.
Opioid misuse is a national epidemic and a significant drug related threat to the United States. While the scale of the problem is undeniable, estimates of the local prevalence of opioid misuse are lacking, despite their importance to polic...
Joe Meagher,Nial Friel
Joe Meagher
The expected number of secondary infections arising from each index case, referred to as the reproduction or R number, is a vital summary statistic for understanding and managing epidemic diseases. There are many methods for estimating ...
When survey science met web tracking: Presenting an error framework for metered data [0.03%]
当调查科学遇到网络追踪时：计量数据误差框架之构建与应用
Oriol J Bosch,Melanie Revilla
Oriol J Bosch
Metered data, also called web-tracking data, are generally collected from a sample of participants who willingly install or configure, onto their devices, technologies that track digital traces left when people go online (e.g., URLs visited...
Estimation of reproduction numbers in real time: Conceptual and statistical challenges [0.03%]
实时估算再生数的概念和统计挑战
Lorenzo Pellis,Paul J Birrell,Joshua Blake et al.
Lorenzo Pellis et al.
The reproduction number R has been a central metric of the COVID-19 pandemic response, published weekly by the UK government and regularly reported in the media. Here, we provide a formal definition and discuss the advantages and most co...
Bayesian multistate modelling of incomplete chronic disease burden data [0.03%]
慢性疾病负担数据的贝叶斯多重状态模型分析
Christopher Jackson,Belen Zapata-Diomedi,James Woodcock
Christopher Jackson
A widely-used model for determining the long-term health impacts of public health interventions, often called a "multistate lifetable", requires estimates of incidence, case fatality, and sometimes also remission rates, for multiple disease...
Estimating the Number of Persons with HIV in Jails via Web Scraping and Record Linkage [0.03%]
通过网络抓取和记录链接估计监狱中的HIV患者数量
Bonnie E Shook-Sa,Michael G Hudgens,Andrew L Kavee et al.
Bonnie E Shook-Sa et al.
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 ...