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SAS Institute Inc.In 2005, SAS once again saw record sales, with total revenue growing 10 percent, from US$1.53 billion to US$1.68 billion, marking our 29th consecutive year of revenue growth and profitability. Our continued focus on the business intelligence marketplace, strong demand for the SAS Enterprise Intelligence Platform and our industry-specific solutions remain key to our success.
| Contact Details: |
| 100 SAS Campus Drive |
| Cary |
| North Carolina |
| 27513-2414 |
| United States of America |
| Tel: | (919) 677-8000 |
| Fax: | (919) 677-4444 |
| Email: | privacy@sas.com |
| WWW: | www.sas.com/
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Recent Publications by SAS Institute Inc.: |  |
Joint Modeling and Analysis of Longitudinal Data with Informative Observation Times.
In analysis of longitudinal data, it is often assumed that observation... | 2nd September, 2008
| SAS Institute Inc., 100 SAS Campus Drive, Cary, North Carolina 27513,
| Biometrics. 2008 Aug 27.
DOI Direct Link |
A set of SAS macros for calculating and displaying adjusted odds ratios (with confidence intervals) for continuous covariates in logistic B-spline regression models.
In clinical and epidemiologic research to investigate dose-response... | 8th July, 2008
| SAS Institute Inc., Heidelberg, Germany.
| Comput Methods Programs Biomed. 2008 Oct;92(1):109-14. Epub 2008 Jul 7.
DOI Direct Link |
Judgement post-stratification for designed experiments.
In many scientific studies, information that is not easily translated into... | 8th July, 2008
| Division of Research and Development, SAS Institute Inc, USA.
| Biometrics. 2008 Jun;64(2):345-54. Epub 2007 Sep 20.
DOI Direct Link |
Cross-site comparison of gene expression data reveals high similarity.
Consistency and coherence of gene expression data across multiple sites... | 21st June, 2004
| SAS Institute Inc., Cary, North Carolina, USA.
| Environ Health Perspect. 2004 Mar;112(4):449-55.
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Multivariate non-parametric methods for Mann-Whitney statistics to analyse cross-over studies with two treatment sequences.
A non-parametric strategy for the analysis of ordinal data from cross-over... | 20th June, 2000
| Professional Services Division, SAS Institute Inc., Cary, NC 27513, USA.
| Stat Med. 1999 Apr 30;18(8):989-1017.
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