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

被引：45

作者：

Hing, E

Gousen, S

Shimizu, I

Burt, C

机构：

[1] Natl Ctr Hlth Stat, Div Hlth Care Stat, Ambulatory Care Stat Branch, Hyattsville, MD 20872 USA

[2] Natl Ctr Hlth Stat, Div Hlth Care Stat, Tech Serv Branch, Hyattsville, MD 20782 USA

[3] Natl Ctr Hlth Stat, Off Res Methods, Hyattsville, MD 20782 USA

来源：

INQUIRY-THE JOURNAL OF HEALTH CARE ORGANIZATION PROVISION AND FINANCING | 2003年 / 40卷 / 04期

关键词：

D O I：

10.5034/inquiryjrnl_40.4.401

中图分类号：

R19 [保健组织与事业（卫生事业管理）];

学科分类号：

摘要：

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.

引用

页码：401 / 415

页数：15