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SUDAAN is a single program comprising a family of 9 analytic procedures designed to analyze complex data sets. SUDAAN Release 9 is an Essential Addition to Your Software Library and a Useful Complement to SAS and SPSS.
SUDAAN offers computationally efficient and design-corrected analyses of:
- Data from complex sample surveys
- Epidemiological study data
- Clinical trial data
- Experiments or observational studies
FEATURES
SUDAAN provides estimates that correctly account for complex design features of a study, including
- General cluster-correlation
- Unequally weighted or unweighted data
- Stratification
- With- or without-replacement designs
- Multistage and cluster designs
- Longitudinal data
- Repeated measures
- Multivariate outcomes
- Multiply imputed analysis variables
All procedures offer three popular robust variance estimation methods:
- Taylor series linearization (GEE for regression models)
- Jackknife (with or without user-specified replicate weights)
- Balance repeated replication (BRR)
Designed and developed at RTI International, SUDAAN is an internationally recognized statistical software package that provides 9 analytic procedures, including the new KAPMEIER procedure, for analyzing survey and other cluster-correlated data from experimental studies.
Many, if not most, data sets require attention to correlation and weighting. Unfortunately, few statistical software packages offer the user the opportunity to specify how data are correlated and weighted. While some are offering limited capability, SUDAAN remains the only broadly-applicable software for analysis of correlated and weighted data.
The importance of using a package like SUDAAN is discussed in:
Pitfalls of Using Standard Statistical Software Packages for Sample Survey Data
Donna J. Brogan
Brogan, D. (1998). Software for sample survey data, misuse of standard packages. In Encyclopedia of Biostatistics, Volume 5 (P. Armitage and T. Colton, Eds.). New York: Wiley, p. 4167-4174.
This paper uses sample survey data from Behavioral Risk Factor Surveillance System (BRFSS) surveys to illustrate that biased point estimates, inappropriate standard errors and confidence intervals, and misleading tests of significance can result from using standard statistical software packages to analyze sample survey data. SUDAAN is used in this paper to conduct appropriate analyses that avoid all of these problems.
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