Designed and developed at RTI International, SUDAAN® is an internationally recognized statistical software package that specializes in providing efficient and accurate analysis of data from complex studies. SUDAAN is ideal for the proper analysis of data from surveys and experimental studies, since SUDAAN procedures properly account for complex design features, such as correlated observations, clustering, weighting, and stratification. SUDAAN 11, the newest release of SUDAAN, reflects our continued commitment to providing useful statistical tools, which began over 40 years ago

References in zbMATH (referenced in 13 articles )

Showing results 1 to 13 of 13.
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  1. Kateri, Maria: Contingency table analysis. Methods and implementation using R (2014)
  2. Miller, Jane E.: The Chicago guide to writing about multivariate analysis. (2013)
  3. Valliant, Richard; Dever, Jill A.; Kreuter, Frauke: Practical tools for designing and weighting survey samples (2013)
  4. Singh, Sarjinder; Arnab, Raghunath: On calibration of design weights (2011)
  5. Levy, Paul S.; Lemeshow, Stanley: Sampling of populations: methods and applications. (2008)
  6. Kang, Joseph D.Y.; Schafer, Joseph L.: Rejoinder: Demystifying double robustness: a comparison of alternative strategies for estimating a population mean from incomplete data (2007)
  7. Miller, Jane E.: The Chicago guide to writing about multivariate analysis. (2005)
  8. Singh, Sarjinder: Advanced sampling theory with applications: How Michael “selected” Amy. 2 Vols. (2003)
  9. Graubard, Barry I.; Korn, Edward L.: Inference for superpopulation parameters using sample surveys (2002)
  10. Scott, Alastair; Wild, Chris: Case-control studies with complex sampling (2001)
  11. Bellamy, Scarlett L.; Gibberd, Robert; Hancock, Lynne; Howley, Peter; Kennedy, Bruce; Klar, Neil; Lipsitz, Stuart; Ryan, Louise: Analysis of dichotomous outcome data for community intervention studies (2000)
  12. Levy, Paul S.; Lemeshow, Stanley: Sampling of populations. Methods and applications. (1999)
  13. Ziegler, Andreas; Grömping, Ulrike: The generalised estimating equations: A comparison of procedures available in commercial statistical software packages (1998)