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AI 根据所提供的论文材料归类:摘要研究健康调查中的缺失值插补与长期趋势,未明确提供所列因果推断或时间序列方法依据。

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关注这篇论文的作者
Daniel F. Heitjan
J. Richard Landis

用多重插补评估血压的长期趋势

研究问题
当降压治疗越来越普遍、观测血压趋势混合了治疗变化时,如何利用三次全国健康调查估计未经治疗的血压趋势?
方法与思路
作者将受治疗者未经治疗的血压视为缺失,采用多重插补估计趋势参数,并比较数据无法辨别的不同模型设定。
材料陈述的贡献
摘要称,趋势估计对插补模型敏感;忽略治疗趋势的朴素估计显得过于乐观,提示模型敏感性分析的必要性。
阅读关注点
应核对未经治疗血压的预测依据、受治疗者插补所需假设、跨调查可比性,以及不同模型下趋势结果如何变化。
阅读边界
仅据 OpenAlex 索引摘要,稿件版本未注明。部分模型特征无法由数据判断;摘要未说明识别条件、插补细节或趋势数值。

原文摘要

The National Center for Health Statistics makes available data from three national health evaluation surveys that it has conducted since 1960: NHES I (1960-1962), NHANES I (1971-1975), and NHANES II (1976-1980). There has been considerable interest in using these data to assess secular trends in cardiovascular risk factors such as blood pressure (BP). Unfortunately, underlying trends in BP are confounded with trends in physician treatment of hypertension over the same period; in the early 1960s it was rare to treat hypertension, whereas by the late 1970s it had become quite common. Our approach to estimating the underlying trends is to take untreated BP to be the variable of interest and to consider it missing in those subjects who are under treatment. We then use a multiple-imputation scheme to construct estimates of trend parameters that adjust for the incompleteness of the original data. Because our imputations depend on certain model features that the data cannot address, we form estimates under different models and compare the results. Our analyses suggest that trend estimates are sensitive to the assumed model, and naive estimates that do not adjust for treatment trends appear to be overly optimistic.

笔记与分组
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