Adjusted logistic propensity weighting methods for population inference using nonprobability volunteer-based epidemiologic cohorts.

Adjusted logistic propensity weighting methods for population inference using nonprobability volunteer-based epidemiologic cohorts.
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DOI:
10.1002/sim.9122
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发表时间:
2021-10-30
影响因子:
2
通讯作者:
Li Y
Li Y
中科院分区:
医学3区
文献类型:
--
作者:
Wang L;Valliant R;Li Y

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由于成本、响应负担和生物样本的侵入性,许多流行病学研究放弃了概率抽样,转而采用非概率志愿者样本。然而,有限总体(FP)推断是很难从非概率样本,由于缺乏总体代表性。为了利用非概率样本进行总体水平的推理,研究了各种逆倾向得分加权方法,其中倾向定义为非概率样本中总体单位的参与率。在这篇文章中,我们提出了一个调整的逻辑倾向加权(ALP)方法来估计参与率的非概率样本单元。建议ALP方法是很容易实现的准备使用的软件,同时产生近似无偏估计的人口数量的非概率样本率。ALP估计器的效率可以通过在倾向估计中缩放调查样本权重来进一步提高。泰勒线性化方差估计提出了ALP估计的FP手段,占所有来源的变异性。建议的ALP方法进行了评估,通过模拟研究和经验,使用天真的未加权的国家健康和营养检查调查III样本,同时以1997年全国健康访谈调查为参考,估计15年的死亡率。
Many epidemiologic studies forgo probability sampling and turn to nonprobability volunteer-based samples because of cost, response burden, and invasiveness of biological samples. However, finite population (FP) inference is difficult to make from the nonprobability sample due to the lack of population representativeness. Aiming for making inferences at the population level using nonprobability samples, various inverse propensity score weighting methods have been studied with the propensity defined by the participation rate of population units in the nonprobability sample. In this article, we propose an adjusted logistic propensity weighting (ALP) method to estimate the participation rates for nonprobability sample units. The proposed ALP method is easy to implement by ready-to-use software while producing approximately unbiased estimators for population quantities regardless of the nonprobability sample rate. The efficiency of the ALP estimator can be further improved by scaling the survey sample weights in propensity estimation. Taylor linearization variance estimators are proposed for ALP estimators of FP means that account for all sources of variability. The proposed ALP methods are evaluated numerically via simulation studies and empirically using the naïve unweighted National Health and Nutrition Examination Survey III sample, while taking the 1997 National Health Interview Survey as the reference, to estimate the 15-year mortality rates.
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期刊: Journal of the Royal Statistical Society. Series A, (Statistics in Society)
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