Stram Daniel O
Division of Biostatistics and Genetic Epidemiology, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
J Toxicol Environ Health A. 2005;68(13-14):1181-7. doi: 10.1080/15287390590936058.
This article discusses the impact of measurement error on various designs for the study of the health effects on humans of exposure to air pollution. It discusses time-series studies in which total deaths (or other events) are related to day-to-day variations in air pollution level, and relates the power of these studies to the power of more complex studies in which geographical variation and data on individual exposures are included in time-series analysis, and in which individual outcomes are included as well. Much emphasis is on the recent analysis of Sheppard (this issue) as a source of information concerning variations in grouped and individual air pollution.
本文讨论了测量误差对研究空气污染对人类健康影响的各种设计的影响。它讨论了时间序列研究，其中总死亡人数（或其他事件）与空气污染水平的每日变化相关，并将这些研究的效力与更复杂研究的效力相关联，在更复杂的研究中，地理变异和个体暴露数据被纳入时间序列分析，并且个体结果也被纳入其中。重点是将谢泼德（本期）的最新分析作为有关分组和个体空气污染变异信息的来源。
