The Big Four : Analyzing Complex Sample Survey Data Using SAS ® , SPSS ® , STATA ® , and SUDAAN ®

Content Provider	Semantic Scholar
Author	Siller, Arlene B. Tompkins, Linda A.
Copyright Year	2005
Abstract	The National Center for Health Statistics conducts surveys with probability-based complex sample designs to produce estimates of person health conditions, vital statistics, medical establishment characteristics, disparities in health status and use of health care by race/ethnicity, socio-economic status, and other population traits in the United States. Researchers usually present descriptive statistics such as means, totals, and their standard errors. However, in order to make statistically valid population inferences from sample data, standard errors must be computed using procedures that take into account the complex nature of the sample design. This paper compares estimates produced with four statistical packages (SAS, SPSS, STATA and SUDAAN) using data from two of the many surveys conducted by the Center.
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://www.bettycjung.net/Pdfs/Big4.pdf
Alternate Webpage(s)	http://www2.sas.com/proceedings/sugi31/172-31.pdf
Alternate Webpage(s)	https://lexjansen.com/nesug/nesug05/pos/pos3.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article