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First Edition
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Language: English
Published by Crc Press, 2020
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Published by Taylor & Francis Group, 2010
ISBN 10: 1439827575 ISBN 13: 9781439827574
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Published by Taylor & Francis Inc, 2010
ISBN 10: 1439827575 ISBN 13: 9781439827574
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Published by Taylor & Francis Group, 2010
ISBN 10: 1439827575 ISBN 13: 9781439827574
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Published by Taylor & Francis Inc, 2010
ISBN 10: 1439827575 ISBN 13: 9781439827574
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Condition: Gut. Zustand: Gut | Seiten: 305 | Sprache: Englisch | Produktart: Bücher | A unique companion for statistical coders, "Using SAS for Data Management, Statistical Analysis, and Graphics" presents an easy way to learn how to perform an analytical task in SAS, without having to navigate through the extensive, idiosyncratic, and sometimes unwieldy software documentation.
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Paperback. Condition: Brand New. 1st edition. 288 pages. 9.37x6.46x0.63 inches. In Stock.
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Published by Crc press /Taylor & Francis, 2019
ISBN 10: 0367414244 ISBN 13: 9780367414245
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Language: English
Published by Taylor & Francis Group, 2010
ISBN 10: 1439827575 ISBN 13: 9781439827574
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Seller: moluna, Greven, Germany
Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Ken Kleinman is an associate professor in the Department of Population Medicine at Harvard Medical School in Boston, Massachusetts. His research deals with clustered data analysis, surveillance, and epidemiological applications in projec.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A unique companion for statistical coders, 'Using SAS for Data Management, Statistical Analysis, and Graphics' presents an easy way to learn how to perform an analytical task in SAS, without having to navigate through the extensive, idiosyncratic, and sometimes unwieldy software documentation.
Seller: moluna, Greven, Germany
Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Ken Kleinman is an associate professor in the Department of Population Medicine at Harvard Medical School in Boston, Massachusetts. His research deals with clustered data analysis, surveillance, and epidemiological applications in projects ranging from vac.