Efficiencies in Variance Estimation for Complex Survey Data |
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| Authors: | Steven B Cohen Vicki L Burt Gretchen K Jones |
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| Institution: | 1. Division of Intramural Research, National Center for Health Services Research and Health Care Technology Assessment , U.S. Department of Health and Human Services , Rockville , MD , 20857 , USA;2. Computer Systems Analyst, Office of Statistical Research and Methodology, National Center for Health Statistics , Hyattsville , MD , 20782 , USA |
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| Abstract: | Data from complex survey designs require special consideration, with regard to variance estimation and analysis, because of design components that include unequal selection probabilities, stratification, and clustering. Using data from the National Medical Care Expenditure Survey, which is characterized by a complex survey design, four variance estimation programs are compared: SESUDAAN/RATIOEST, SUPERCARP, PSALMS, and HESBRR. The comparisons concentrate on program capabilities, computational efficiency, and user facility. |
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| Keywords: | SESUDAAN/RATIOEST SUPERCARP PSALMS HESBRR |
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