Statistics And Operational Research Community Research Technologies (Medical & Pharnaceutical)

SAS® Data Set Library

28 years on from its origins in a university research project (Department of Agriculture at the University of North Carolina), SAS software continues to be used extensively in academic research. In Malaysia, SAS is licensed by all the Russell Group of research universities, as well as by 60 other teaching universities. Fundamental to this success is the software's unsurpassed excellence in data management and in analytics.

An important recent development has been the release of an easy-to-use front end to the software, called SAS Enterprise Guide. This allows the researcher to access the full power of SAS in a point-and-click environment. For a free SAS Enterprise Guide tutorial, follow this link.

STATISTICS AND OPERATIONAL RESEARCH COMMUNITY
SAS has long developed software for data analysis, econometrics, operations research and quality improvement. A staff of over 90 statisticians and operations research analysts develop state-of-the-art software that reflects new methodology and practice. Close proximity to major universities and research organisations promotes the regular interchange of ideas with both academic and industry colleagues. For up-to-the-minute information on SAS in a research environment, click on the following links:

Statistics
Econometrics and Time Series
Operations Research
Quality Improvement

RESEARCH TECHNOLOGIES (MEDICAL & PHARMACEUTICAL)
SAS and the Federal Drugs Administration

The FDA is defining standards for various types of electronic submissions to the agency. A transport format developed by SAS has been adopted as an FDA standard for accepting and archiving data sets

SAS^® Scientific Discovery Solutions

• SAS^® Research Data Management

  - Formerly know as G23 from iBiomatics, this solution enables users to access, manage and view data within a centralized metadata repository. It manages all types of data formats, including genetic, proteomic, chemical, bioassay, toxicology, array and chemical structure data. In addition, SAS Research Data Management integrates easily with legacy systems within pharma and biotech R&D organisations and can include supplemental information, such as instrumentation IQ/OQ records and project management information.

The following Scientific Discovery Solution User's Guide is available in Final Format at http://support.sas.com/documentation/onlinedoc/sassds/:

• SAS^® Microarray Solution

  - Built for genomic research, SAS Microarray Solution includes analytical best practices and prebuilt transformation processes specific to microarray data. When coupled with SAS Research Data Management, it supports powerful and innovative data analyses and simplifies data access and preparation, which are often essential but time-consuming tasks. SAS Microarray Solution facilitates the exploration and evolution of microarray data analysis for understanding gene expression and, ultimately, disease mechanisms.

• SAS/Genetics™

  - A dedicated tool for enabling statisticians to use analyzed genetic marker data. The first scientific discovery-focused product from SAS, SAS/Genetics delivers specialized information for marker analyses, increasing the productivity of discovery research and profitability of researchers.

• SAS^® Proteomics

  - SAS Proteomics helps organisations make safety and efficacy assessment processes more streamlined and consistent by:

  • Providing statistically focused analytic methods, such as PLS, PCA and discriminate analysis for identification of biomarkers associated with biological effects such as disease or adverse events.
  • Centralizing biomarker analyses for processing proteomic data and identifying biomarkers. Enabling the incorporation of a variety of supporting data, such as clinical and genetic information, to achieve optimal accuracy and reproducibility during biomarker analysis

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We recognise that educators often have trouble obtaining data sets that are suitable for teaching specific concepts in statistics. To assist in that area, SAS has assembled a library of SAS data sets. After providing a minimal amount of identification information, visitors will be able to download any of a number of data sets from the SAS Data Set Library. The library contains an index data set to help you ascertain the size of each data set and some types of analysis that might be appropriate for that data. In addition, a text file is included with each individual data set to give some background about the data and recommendations for analysis discussions.