Design and estimation for the national health interview survey, 2006-2015.

Q1 Mathematics

Vital and health statistics. Series 2, Data evaluation and methods research Pub Date : 2014-04-01

Van L Parsons, Chris Moriarity, Kimball Jonas, Thomas F Moore, Karen E Davis, Linda Tompkins

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引用次数: 0

Abstract

Objectives: This report presents an overview, a detailed description of the sample design features, and estimation structures for the 2006-2015 National Health Interview Survey NHIS). It fulfills the same role for the current 2006-2015 NHIS design as NCHS Series 2, No. 130, "Design and Estimation for the National Health Interview Survey, 1995-2004" provided for the previous design, which was extended through 2005.

Methods: The 2006-2015 NHIS sample design uses cost-effective complex sampling techniques including stratification, clustering, and differential sampling rates to achieve several objectives, among them improved reliability of racial, ethnic, and geographical domains. This report describes these methods.

Results: This report presents operating characteristics of NHIS 2006-2015. The general sampling structure is presented, along with a discussion of weighting and variance estimation techniques. This report is intended for general users of NHIS data systems.

本刊更多论文

2006-2015年全国健康访谈调查的设计与估计。

目的:本报告概述了2006-2015年全国健康访谈调查(NHIS)的样本设计特征和估计结构的详细描述。它在2006-2015年国家卫生信息系统设计中发挥的作用与国家卫生信息系统系列2，第130号，“1995-2004年全国健康访谈调查的设计和估计”为上一个设计提供的作用相同，该设计延长至2005年。方法:2006-2015年NHIS样本设计采用具有成本效益的复杂抽样技术，包括分层、聚类和差异抽样率，以实现几个目标，其中包括提高种族、民族和地理领域的可靠性。本报告描述了这些方法。结果:报告了2006-2015年NHIS的运行特点。给出了一般的抽样结构，并讨论了加权和方差估计技术。本报告适用于NHIS数据系统的一般用户。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Vital and health statistics. Series 2, Data evaluation and methods research Medicine-Medicine (all)

CiteScore

13.20

自引率

0.00%

发文量

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.