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Volume 2: No. 3, July 2005
This flow chart shows how the SAS program performs relative standard error (RSE) retrieval and standard error (SE) and confidence interval (CI) computation. Raw data available on CD-ROM from the National Center for Health Statistics, including data from the National Hospital Discharge Survey (excluding those for newborns), is entered into the system to produce an annual total, which is then reformatted and renamed. The first part of the program, depicted in a box on the left, transposes the 22 annual RSE parameter tables on the NCHS-issued CD-ROM into two new parameter tables by SAS array programming. The second part, the COMPURSE program, calls the parameters and calculates SEs and CIs for annual totals, multiple-year summaries, and average annual totals of multiple years of NHDS data as output.
Figure 1. The process by which relative standard errors (RSEs), standard errors (SEs), and confidence intervals (CIs) are calculated for National Hospital Discharge Survey (NHDS) data (excluding those for newborns) using the COMPURSE program. NCHS indicates National Center for Health Statistics.
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The opinions expressed by authors contributing to this journal do not necessarily reflect the opinions of the U.S. Department of Health and Human Services, the Public Health Service, the Centers for Disease Control and Prevention, or the authors’ affiliated institutions. Use of trade names is for identification only and does not imply endorsement by any of the groups named above.
Privacy Policy | Accessibility This page last reviewed October 25, 2011
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