Response bias, weighting adjustments, and design effects in the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS).
Response bias, weighting adjustments, and design effects in the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS).
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DOI：
10.1002/mpr.1399
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发表时间：
2013-12
影响因子：
3.1
通讯作者：
Ursano, Robert J.
中科院分区：
文献类型：
--
作者：
Kessler, Ronald C.;Heeringa, Steven G.;Colpe, Lisa J.;Fullerton, Carol S.;Gebler, Nancy;Hwang, Irving;Naifeh, James A.;Nock, Matthew K.;Sampson, Nancy A.;Schoenbaum, Michael;Zaslavsky, Alan M.;Stein, Murray B.;Ursano, Robert J.
关键词：
评估军人风险和复原力的陆军研究（Army STARRS）是一项多组成部分的流行病学和神经生物学研究，旨在提出可操作的建议，以减少美国陆军自杀并增加对自杀决定因素的了解。陆军 STARRS 的三项研究属于大规模调查：其中一名新士兵在开始基础战斗训练（BCT；n=50,765 人填写了自填问卷）之前；另一名旅战斗队士兵之外的其他士兵（n=35,372）；即将部署到阿富汗的三个旅战斗队中的三分之一在部署返回后遭到多次跟踪（n = 9,421）。尽管这些调查的答复率相当不错（72.0-90.8%），但在估计精神障碍和自杀率方面可能存在样本偏差，这些调查的主要结果是基于社区调查中一般精神障碍人群代表性不足的证据。本文介绍了旨在确定陆军 STARRS 调查中是否存在此类偏差的分析结果，如果存在，则制定权重来纠正这些偏差。还提供了关于加权和样本聚类引入的样本低效率的数据，以及对权重修剪中偏差和效率之间的权衡分析的数据。
The Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS) is a multi-component epidemiological and neurobiological study designed to generate actionable recommendations to reduce U.S. Army suicides and increase knowledge about determinants of suicidality. Three Army STARRS component studies are large-scale surveys: one of new soldiers prior to beginning Basic Combat Training (BCT; n=50,765 completed self-administered questionnaires); another of other soldiers exclusive of those in BCT (n=35,372); and a third of three Brigade Combat Teams about to deploy to Afghanistan who are being followed multiple times after returning from deployment (n= 9,421). Although the response rates in these surveys are quite good (72.0-90.8%), questions can be raised about sample biases in estimating prevalence of mental disorders and suicidality, the main outcomes of the surveys based on evidence that people in the general population with mental disorders are under-represented in community surveys. This paper presents the results of analyses designed to determine whether such bias exists in the Army STARRS surveys and, if so, to develop weights to correct for these biases. Data are also presented on sample inefficiencies introduced by weighting and sample clustering and on analyses of the trade-off between bias and efficiency in weight trimming.
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影响因子：
1.2
作者：
Gadermann, Anne M.;Engel, Charles C.;Kessler, Ronald C.
通讯作者：
Kessler, Ronald C.
影响因子：
--
作者：
Warner, Christopher H.;Appenzeller, George N.;Hoge, Charles
通讯作者：
Hoge, Charles
影响因子：
1.2
作者：
Warner, Christopher H.;Appenzeller, George N.;Grieger, Thomas
通讯作者：
Grieger, Thomas
影响因子：
22.4
作者：
FIDLER, DS;KLEINKNECHT, RE
通讯作者：
KLEINKNECHT, RE
DOI：
10.1198/016214501753208889
发表时间：
2001-09-01
影响因子：
3.7
作者：
Zaslavsky, AM;Schenker, N;Belin, TR
通讯作者：
Belin, TR