国家健康和营养检查调查:分析指南,1999-2010年。

Q1 Mathematics
Clifford L Johnson, Ryne Paulose-Ram, Cynthia L Ogden, Margaret D Carroll, Deanna Kruszon-Moran, Sylvia M Dohrmann, Lester R Curtin
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引用次数: 0

摘要

背景分析指南于1996年首次创建,以帮助数据用户分析第三次全国健康和营养检查调查(NHANES III)的数据,该调查由疾病控制和预防中心的国家卫生统计中心于1988年至1994年进行。NHANES于1999年成为连续的年度调查,每两年向公众发布一次数据。在2002年、2004年和2006年,指南被创建并发布在NHANES网站上,以帮助分析人员理解与分析1999年以来的数据相关的关键问题。本报告以这些先前的指南为基础,首次全面总结了1999-2010年NHANES数据的分析指南。目的:本报告为研究人员分析1999-2010年NHANES公开发布的数据提供了一般指南。介绍了与NHANES数据相关的关键问题的信息,包括样本设计、人口统计变量和组合调查周期。还提供了关于数据分析的指导,包括使用适当的调查权重、计算方差估计、确定估计的可靠性、年龄调整和计算人口计数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
National health and nutrition examination survey: analytic guidelines, 1999-2010.

Background-Analytic guide lines were first created in 1996 to assist data users in analyzing data from the Third National Health and Nutrition Examination Survey (NHANES III),conducted from 1988 to 1994 by the Centers for Disease Control and Prevention's National Center for Health Statistics. NHANES became a continuous annual survey in 1999, with data released to the public in 2-year intervals. In 2002, 2004, and 2006, guidelines were created and posted on the NHANES website to assist analysts in understanding the key issues related to analyzing data from 1999 onward. This report builds on these previous guidelines and provides the first comprehensive summary of analytic guidelines for the 1999-2010 NHANES data. Objectives-This report provides general guidelines for researchers in analyzing 1999-2010 NHANES publicly released data. Information is presented on key issues related to NHANES data, including sample design, demographic variables, and combining survey cycles. Guidance is also provided on data analysis, including the use of appropriate survey weights, calculating variance estimations, determining the reliability of estimates, age adjustment, and computing population counts.

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来源期刊
CiteScore
13.20
自引率
0.00%
发文量
0
期刊介绍: Studies of new statistical methodology including experimental tests of new survey methods, studies of vital statistics collection methods, new analytical techniques, objective evaluations of reliability of collected data, and contributions to statistical theory. Studies also include comparison of U.S. methodology with those of other countries.
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