论文标题
PSWEIGHT：倾斜分数加权分析的R包装
PSweight: An R Package for Propensity Score Weighting Analysis
论文作者
论文摘要
倾向得分加权是比较有效性研究的重要工具。Besides治疗权重的反可能性（IPW），最近的发展引入了一般的平衡权重，与替代目标人群和估计值相对应。特别是，重叠权重（OW）导致最佳的协变量平衡和估计效率，以及科学和政策兴趣的目标人群。我们开发了R软件包PSWEIGHT，以基于倾向分数加权为因果推断提供全面的设计和分析平台。 Psweight支持（i）各种平衡权重，（ii）二进制和多种处理，（iii）简单而增强的加权估计量，（iv）nuisance调整后的三明治差异和（v）比率估计值。 Psweight还提供诊断表和图表，以进行协变量平衡评估。我们使用NationalChild Development调查（NCDS）的数据示例来证明包装的功能，在该示例中，我们评估了教育程度对收入的因果关系。
Propensity score weighting is an important tool for comparative effectiveness research.Besides the inverse probability of treatment weights (IPW), recent development has introduced a general class of balancing weights, corresponding to alternative target populations and estimands. In particular, the overlap weights (OW) lead to optimal covariate balance and estimation efficiency, and a target population of scientific and policy interest. We develop the R package PSweight to provide a comprehensive design and analysis platform for causal inference based on propensity score weighting. PSweight supports (i) a variety of balancing weights, (ii) binary and multiple treatments,(iii) simple and augmented weighting estimators, (iv) nuisance-adjusted sandwich variances, and(v) ratio estimands. PSweight also provides diagnostic tables and graphs for covariate balance assessment. We demonstrate the functionality of the package using a data example from the NationalChild Development Survey (NCDS), where we evaluate the causal effect of educational attainment on income.
