Piesse Andrea, Opsomer Jean, Dohrmann Sylvia, DiGaetano Ralph, Morganstein David, Taylor Kristie, Carusi Charles, Hyland Andrew
Statistics and Evaluation Sciences, Westat, Rockville, MD, United States.
Behavioral Health and Health Policy, Westat, Rockville, MD, United States.
Tob Regul Sci. 2021 Jan;7(1):3-16. doi: 10.18001/trs.7.1.1.
The Population Assessment of Tobacco and Health (PATH) Study is a nationally representative study of the US population on tobacco use and its effects on health, with 3 waves of data collection between 2013 and 2016. Prior work described the methods of the first wave. In this paper, we describe the methods of the subsequent 2 waves and provide recommendations for how to conduct longitudinal analyses of PATH Study data.
We use standard survey quality metrics to evaluate the results of the follow-up waves of the PATH Study. The recommendations and examples of longitudinal and cross-sectional analyses of PATH Study data follow a design-based statistical inference framework.
The quality metrics indicate that the PATH Study sample of approximately 40,000 continuing respondents remains representative of its target population. Depending on the intended analysis, different survey weights may be appropriate.
The PATH Study data are a valuable resource for regulatory scientists interested in longitudinal analysis of tobacco use and its effects on health. The availability of multiple sets of specialized survey weights enables researchers to target a wide range of tobacco-related analytic questions.
烟草与健康人口评估（PATH）研究是一项针对美国人口烟草使用情况及其对健康影响的具有全国代表性的研究，在2013年至2016年期间进行了三轮数据收集。之前的工作描述了第一轮的方法。在本文中，我们描述了后续两轮的方法，并就如何对PATH研究数据进行纵向分析提供建议。
我们使用标准的调查质量指标来评估PATH研究后续轮次的结果。PATH研究数据纵向和横断面分析的建议及示例遵循基于设计的统计推断框架。
质量指标表明，约40000名持续受访者的PATH研究样本仍能代表其目标人群。根据预期分析，不同的调查权重可能是合适的。
PATH研究数据对于有兴趣对烟草使用及其对健康影响进行纵向分析的监管科学家来说是一种宝贵资源。多套专门调查权重的可用性使研究人员能够针对广泛的烟草相关分析问题。
