Guide to using masked design variables to estimate standard errors in public use files of the National Ambulatory Medical Care Survey and the National Hospital Ambulatory Medical Care Survey
Guide to using masked design variables to estimate standard errors in public use files of the National Ambulatory Medical Care Survey and the National Hospital Ambulatory Medical Care Survey
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DOI：
10.5034/inquiryjrnl_40.4.401
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发表时间：
2003-12-01
影响因子：
1.7
通讯作者：
Burt, C
中科院分区：
文献类型：
--
作者：
Hing, E;Gousen, S;Burt, C
直到最近，由于保密原因，从国家动态医疗调查(NAMCS)和国家医院动态医疗调查(NHAMCS)公共使用文件中正确估计标准误差所需的样本设计信息没有公布。2002年，屏蔽样本设计变量首次与1995-2000年NAMCS和NHAMCS公共使用文件一起发布。本文介绍了如何在三个软件应用程序中使用屏蔽设计变量来计算标准误差。它还讨论了什么时候掩蔽夸大或低估“内部”标准误差，以及掩蔽如何影响点估计和Logistic回归参数的显著水平。
Until recently, sample design information needed to correctly estimate standard errors from the National Ambulatory Medical Care Survey (NAMCS) and the National Hospital Ambulatory Medical Care Survey (NHAMCS) public use files was not released for confidentiality reasons. In 2002, masked sample design variables were released for the first time with the 1995-2000 NAMCS and NHAMCS public use files. This paper shows how to use masked design variables to compute standard errors in three software applications. It also discusses when masking overstates or understates "in-house" standard errors, and how masking affects the significance levels of point estimates and logistic regression parameters.