SAS (software)
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SAS (software)
SAS (previously "Statistical Analysis System") is a statistical software suite developed by SAS Institute for data management, advanced analytics, multivariate analysis, business intelligence, criminal investigation, and predictive analytics. SAS was developed at North Carolina State University from 1966 until 1976, when SAS Institute was incorporated. SAS was further developed in the 1980s and 1990s with the addition of new statistical procedures, additional components and the introduction of JMP. A point-and-click interface was added in version 9 in 2004. A social media analytics product was added in 2010. Technical overview and terminology SAS is a software suite that can mine, alter, manage and retrieve data from a variety of sources and perform statistical analysis on it. SAS provides a graphical point-and-click user interface for non-technical users and more through the SAS language. SAS programs have DATA steps, which retrieve and manipulate data, and PROC steps, whic ...
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SAS Institute
SAS Institute (or SAS, pronounced "sass") is an American multinational developer of analytics software based in Cary, North Carolina. SAS develops and markets a suite of analytics software ( also called SAS), which helps access, manage, analyze and report on data to aid in decision-making. The company is the world's largest privately held software business and its software is used by most of the Fortune 500. SAS Institute started as a project at North Carolina State University to create a statistical analysis system (hence the proper name, Statistical Analysis System) that was originally used primarily by agricultural departments at universities in the late 1960s. It became an independent, private business led by current CEO James Goodnight and three other project leaders from the university in 1976. SAS grew from $10 million in revenues in 1980 to $1.1 billion by 2000. In 1998 a larger proportion of these revenues were spent on research and development than at most other soft ...
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Social Media Analytics
Social media analytics is the process of gathering and analyzing data from social networks such as Facebook, Instagram, LinkedIn, or Twitter. A part of social media analytics is called social media monitoring or social listening. It is commonly used by marketers to track online conversations about products and companies. One author defined it as "the art and science of extracting valuable hidden insights from vast amounts of semi-structured and unstructured social media data to enable informed and insightful decision making." Process There are three main steps in analyzing social media: data identification, data analysis, and information interpretation. To maximize the value derived at every point during the process, analysts may define a question to be answered. The important questions for data analysis are: "Who? What? Where? When? Why? and How?" These questions help in determining the proper data sources to evaluate, which can affect the type of analysis that can be performed ...
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University Statisticians Of The Southern Experiment Stations
The University Statisticians of the Southern Experiment Stations (USSES) was a coalition of southern Universities formed in the mid-1960s for the purpose of coordinating efforts in the development of statistical software. This coalition was largely motivated by introduction of the IBM System/360, which required the reprogramming of all software developed on previous IBM models. North Carolina State University played a leading role within the coalition because they had a larger programming staff and were well funded through a grant from the National Institute of Health.Greenberg, et al. Pages 180-181 See also * Anthony James Barr * Gertrude Mary Cox * James Goodnight * SAS System SAS (previously "Statistical Analysis System") is a statistical software suite developed by SAS Institute for data management, advanced analytics, multivariate analysis, business intelligence, criminal investigation, and predictive analytics. ... References Statistical organizations in the Un ...
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Analysis Of Variance
Analysis of variance (ANOVA) is a collection of statistical models and their associated estimation procedures (such as the "variation" among and between groups) used to analyze the differences among means. ANOVA was developed by the statistician Ronald Fisher. ANOVA is based on the law of total variance, where the observed variance in a particular variable is partitioned into components attributable to different sources of variation. In its simplest form, ANOVA provides a statistical test of whether two or more population means are equal, and therefore generalizes the ''t''-test beyond two means. In other words, the ANOVA is used to test the difference between two or more means. History While the analysis of variance reached fruition in the 20th century, antecedents extend centuries into the past according to Stigler. These include hypothesis testing, the partitioning of sums of squares, experimental techniques and the additive model. Laplace was performing hypothesis testing ...
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Multiple Regression
In statistical modeling, regression analysis is a set of statistical processes for Estimation theory, estimating the relationships between a dependent variable (often called the 'outcome' or 'response' variable, or a 'label' in machine learning parlance) and one or more independent variables (often called 'predictors', 'covariates', 'explanatory variables' or 'features'). The most common form of regression analysis is linear regression, in which one finds the line (or a more complex linear combination) that most closely fits the data according to a specific mathematical criterion. For example, the method of ordinary least squares computes the unique line (or hyperplane) that minimizes the sum of squared differences between the true data and that line (or hyperplane). For specific mathematical reasons (see linear regression), this allows the researcher to estimate the conditional expectation (or population average value) of the dependent variable when the independent variables take ...
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James Goodnight
James Howard Goodnight (born January 6, 1943) is an American billionaire businessman and software developer. He has been the CEO of SAS Institute since 1976, which he co-founded that year with other faculty members of North Carolina State University. As of February 2022, his net worth was estimated at US$7.3 billion. Early life and career Goodnight was born to Albert Goodnight and Dorothy Patterson in Salisbury, North Carolina, on January 6, 1943. He lived in Greensboro until he was 12, when his family moved to Wilmington. As a kid he worked at his father's hardware store. Goodnight's career with computers began with a computer course at North Carolina State University. One summer he got a job writing software programs for the agricultural economics department. Goodnight was a member of the Beta-Beta chapter of Tau Kappa Epsilon at NC State, and contributed to the construction of a new fraternity house for the chapter in 2002. Goodnight received a master's degree in statistics ...
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National Institutes Of Health
The National Institutes of Health, commonly referred to as NIH (with each letter pronounced individually), is the primary agency of the United States government responsible for biomedical and public health research. It was founded in the late 1880s and is now part of the United States Department of Health and Human Services. The majority of NIH facilities are located in Bethesda, Maryland, and other nearby suburbs of the Washington metropolitan area, with other primary facilities in the Research Triangle Park in North Carolina and smaller satellite facilities located around the United States. The NIH conducts its own scientific research through the NIH Intramural Research Program (IRP) and provides major biomedical research funding to non-NIH research facilities through its Extramural Research Program. , the IRP had 1,200 principal investigators and more than 4,000 postdoctoral fellows in basic, translational, and clinical research, being the largest biomedical research instit ...
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IBM System/360
The IBM System/360 (S/360) is a family of mainframe computer systems that was announced by IBM on April 7, 1964, and delivered between 1965 and 1978. It was the first family of computers designed to cover both commercial and scientific applications and to cover a complete range of applications from small to large. The design distinguished between architecture and implementation, allowing IBM to release a suite of compatible designs at different prices. All but the only partially compatible Model 44 and the most expensive systems use microcode to implement the instruction set, which features 8-bit byte addressing and binary, decimal, and hexadecimal floating-point calculations. The System/360 family introduced IBM's Solid Logic Technology (SLT), which packed more transistors onto a circuit card, allowing more powerful but smaller computers to be built. The slowest System/360 model announced in 1964, the Model 30, could perform up to 34,500 instructions per second, with memo ...
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Anthony James Barr
Anthony James Barr (born September 24, 1940), aka Tony Barr or Jim Barr, is an American programming language designer, software engineer and inventor. Among his notable contributions are the Statistical Analysis System (SAS), automated lumber yield optimization, and the Automated Classification of Medical Entities (ACME). Contributions Statistical Analysis System (SAS) Widely used internationally in science, government, industry, and academia, the SAS System was founded by Barr in 1966. In September 1966, in Athens, Georgia, he presented the conceptual ideas of SAS to members of the Committee on Statistical Software of the University Statisticians of the Southern Experiment Stations (USSES).Barr 2006b. Barr had earlier created an analysis-of-variance modeling language inspired by the notation of statistician Maurice Kendall. He developed it in assembly language on the IBM 1410, as a graduate student at North Carolina State University from 1962 to 1963. Dr. A. Grand ...
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Business Intelligence
Business intelligence (BI) comprises the strategies and technologies used by enterprises for the data analysis and management of business information. Common functions of business intelligence technologies include reporting, online analytical processing, analytics, dashboard development, data mining, process mining, complex event processing, business performance management, benchmarking, text mining, predictive analytics, and prescriptive analytics. BI tools can handle large amounts of structured and sometimes unstructured data to help identify, develop, and otherwise create new strategic business opportunities. They aim to allow for the easy interpretation of these big data. Identifying new opportunities and implementing an effective strategy based on insights can provide businesses with a competitive market advantage and long-term stability, and help them take strategic decisions. Business intelligence can be used by enterprises to support a wide range of business decisi ...
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Clinical Trial
Clinical trials are prospective biomedical or behavioral research studies on human participants designed to answer specific questions about biomedical or behavioral interventions, including new treatments (such as novel vaccines, drugs, dietary choices, dietary supplements, and medical devices) and known interventions that warrant further study and comparison. Clinical trials generate data on dosage, safety and efficacy. They are conducted only after they have received health authority/ethics committee approval in the country where approval of the therapy is sought. These authorities are responsible for vetting the risk/benefit ratio of the trial—their approval does not mean the therapy is 'safe' or effective, only that the trial may be conducted. Depending on product type and development stage, investigators initially enroll volunteers or patients into small pilot studies, and subsequently conduct progressively larger scale comparative studies. Clinical trials can vary i ...
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