Analysis of combined probability and nonprobability samples: a simulation evaluation and application to a teen smoking behavior survey
Analysis of combined probability and nonprobability samples: a simulation evaluation and application to a teen smoking behavior survey
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概率和非概率组合样本分析：模拟评估及其在青少年吸烟行为调查中的应用
DOI：
10.1080/03610918.2022.2102181
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发表时间：
2022
期刊：
影响因子：
--
通讯作者：
Sukasih, Amang
中科院分区：
文献类型：
--
作者：
Xi, Wenna;Hinton, Alice;Lu, Bo;Krotki, Karol;Keller-Hamilton, Brittney;Ferketich, Amy;Sukasih, Amang
在低患病率结果的科学研究中，概率抽样可以由非概率抽样补充，以增加所需亚总体的样本量，同时保持对整个研究总体的代表性。为了合理地利用概率和非概率样本，文献中已经提出了几种生成伪权重的方法，包括自组织权重、包含概率调整权重和倾向分数调整权重。我们通过一个广泛的模拟研究对各种加权策略进行了实证比较，其中结合了概率样本和非概率样本。权值归一化和倾斜调整也被考虑。我们的仿真结果表明，单位权值方法(带权重归一化)和包含概率调整权值方法具有很好的整体性能。这项工作是由七叶树青少年健康研究推动的，该研究调查了俄亥俄州青少年男性开始吸烟的风险因素。为了解决初始概率样本的低应答率和目标人群中吸烟者的低流行率问题，收集了一个小的便利样本作为补充。我们建议的方法得出的估计值与仅使用概率样本的分析得出的估计值非常接近，并享受了通过后续跟踪能够跟踪更多具有危险行为的青少年的额外好处。
In scientific studies with low-prevalence outcomes, probability sampling may be supplemented by nonprobability sampling to boost the sample size of desired subpopulation while remaining representative to the entire study population. To utilize both probability and nonprobability samples appropriately, several methods have been proposed in the literature to generate pseudo-weights, including ad-hoc weights, inclusion probability adjusted weights, and propensity score adjusted weights. We empirically compare various weighting strategies via an extensive simulation study, where probability and nonprobability samples are combined. Weight normalization and raking adjustment are also considered. Our simulation results suggest that the unity weight method (with weight normalization) and the inclusion probability adjusted weight method yield very good overall performance. This work is motivated by the Buckeye Teen Health Study, which examines risk factors for the initiation of smoking among teenage males in Ohio. To address the low response rate in the initial probability sample and low prevalence of smokers in the target population, a small convenience sample was collected as a supplement. Our proposed method yields estimates very close to the ones from the analysis using only the probability sample and enjoys the additional benefit of being able to track more teens with risky behaviors through follow-ups.
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影响因子：
4.1
作者：
Schonlau, M;Zapert, K;Berry, SH
通讯作者：
Berry, SH
将概率和非概率样本与军事护理人员调查的应用相混合
影响因子：
2.1
作者：
Michael W Robbins;B. Ghosh;R. Ramchand
通讯作者：
R. Ramchand
影响因子：
3.4
作者：
Iannacchione, Vincent G.
通讯作者：
Iannacchione, Vincent G.
影响因子：
2.1
作者：
Valliant, Richard
通讯作者：
Valliant, Richard
“网络图表”或态度问题对于使用倾向评分调整网络调查的估计有用吗？
DOI：
10.2139/ssrn.1006108
发表时间：
2007
期刊：
Information Systems: Behavioral & Social Methods
影响因子：
--
作者：
Matthias Schonlau;A. van Soest;A. Kapteyn
通讯作者：
A. Kapteyn