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Multiple Testing Problems in P
Published by Chapman and Hall/CRC, 2009
ISBN 10: 1584889845 ISBN 13: 9781584889847
Language: English
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Multiple Testing Problems in Pharmaceutical Statistics
Published by Chapman and Hall/CRC, 2023
ISBN 10: 1032477709 ISBN 13: 9781032477701
Language: English
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Multiple Testing Problems in Pharmaceutical Statistics
Published by Taylor & Francis Ltd, 2023
ISBN 10: 1032477709 ISBN 13: 9781032477701
Language: English
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Multiple Testing Problems in Pharmaceutical Statistics
Published by Chapman and Hall/CRC, 2023
ISBN 10: 1032477709 ISBN 13: 9781032477701
Language: English
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Multiple Testing Problems in Pharmaceutical Statistics
Published by Chapman and Hall/CRC, 2023
ISBN 10: 1032477709 ISBN 13: 9781032477701
Language: English
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Multiple Testing Problems in Pharmaceutical Statistics (Chapman & Hall/CRC Biostatistics Series)
Published by Chapman and Hall/CRC, 2009
ISBN 10: 1584889845 ISBN 13: 9781584889847
Language: English
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Multiple Testing Problems in Pharmaceutical Statistics (Chapman & Hall/CRC Biostatistics Series)
Published by Chapman and Hall/CRC 2009-12-10, 2009
ISBN 10: 1584889845 ISBN 13: 9781584889847
Language: English
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Multiple Testing Problems in Pharmaceutical Statistics
Published by Chapman and Hall/CRC, 2009
ISBN 10: 1584889845 ISBN 13: 9781584889847
Language: English
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Multiple Testing Problems in Pharmaceutical Statistics
Published by Chapman and Hall/CRC, 2009
ISBN 10: 1584889845 ISBN 13: 9781584889847
Language: English
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Multiple Testing Problems in Pharmaceutical Statistics
Published by Taylor & Francis Inc, 2009
ISBN 10: 1584889845 ISBN 13: 9781584889847
Language: English
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Multiple Testing Problems in Pharmaceutical Statistics
Published by Chapman and Hall/CRC, 2009
ISBN 10: 1584889845 ISBN 13: 9781584889847
Language: English
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Multiple Testing Problems in Pharmaceutical Statistics (Chapman Hall/CRC Biostatistics Series)
Published by Chapman and Hall/CRC, 2009
ISBN 10: 1584889845 ISBN 13: 9781584889847
Language: English
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Multiple Testing Problems in Pharmaceutical Statistics
Published by Chapman and Hall/CRC, 2009
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Language: English
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Multiple Testing Problems in Pharmaceutical Statistics (Chapman & Hall/CRC Biostatistics Series)
Published by Chapman and Hall/CRC, 2009
ISBN 10: 1584889845 ISBN 13: 9781584889847
Language: English
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Multiple Testing Problems in Pharmaceutical Statistics (Chapman & Hall/CRC Biostatistics Series)
Published by Chapman and Hall/CRC, 2009
ISBN 10: 1584889845 ISBN 13: 9781584889847
Language: English
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Multiple Testing Problems in Pharmaceutical Statistics
Published by Taylor & Francis Group, 2009
ISBN 10: 1584889845 ISBN 13: 9781584889847
Language: English
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Multiple Testing Problems in Pharmaceutical Statistics
Published by Taylor & Francis Group, 2009
ISBN 10: 1584889845 ISBN 13: 9781584889847
Language: English
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Hardcover. Condition: Brand New. 1st edition. 320 pages. 9.57x6.50x0.91 inches. In Stock.
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Multiple Testing Problems in Pharmaceutical Statistics
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Useful Statistical Approaches for Addressing Multiplicity IssuesIncludes practical examples from recent trials Bringing together leading statisticians, scientists, and clinicians from the pharmaceutical industry, academia, and regulatory agencies, Multiple Testing Problems in Pharmaceutical Statistics explores the rapidly growing area of multiple comparison research with an emphasis on pharmaceutical applications. In each chapter, the expert contributors describe important multiplicity problems encountered in pre-clinical and clinical trial settings. The book begins with a broad introduction from a regulatory perspective to different types of multiplicity problems that commonly arise in confirmatory controlled clinical trials, before giving an overview of the concepts, principles, and procedures of multiple testing. It then presents statistical methods for analyzing clinical dose response studies that compare several dose levels with a control as well as statistical methods for analyzing multiple endpoints in clinical trials. After covering gatekeeping procedures for testing hierarchically ordered hypotheses, the book discusses statistical approaches for the design and analysis of adaptive designs and related confirmatory hypothesis testing problems. The final chapter focuses on the design of pharmacogenomic studies based on established statistical principles. It also describes the analysis of data collected in these studies, taking into account the numerous multiplicity issues that occur.This volume explains how to solve critical issues in multiple testing encountered in pre-clinical and clinical trial applications. It presents the necessary statistical methodology, along with examples and software code to show how to use the methods in practice. 322 pp. Englisch.
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£ 48.85
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Alex Dmitrienko is a research advisor in Global Statistical Sciences at Eli Lilly and Company in Indianapolis, Indiana.Ajit C. Tamhane is senior associate dean and professor of industrial engineering and ma.
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£ 58.90
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Useful Statistical Approaches for Addressing Multiplicity IssuesIncludes practical examples from recent trials Bringing together leading statisticians, scientists, and clinicians from the pharmaceutical industry, academia, and regulatory agencies, Multiple Testing Problems in Pharmaceutical Statistics explores the rapidly growing area of multiple comparison research with an emphasis on pharmaceutical applications. In each chapter, the expert contributors describe important multiplicity problems encountered in pre-clinical and clinical trial settings. The book begins with a broad introduction from a regulatory perspective to different types of multiplicity problems that commonly arise in confirmatory controlled clinical trials, before giving an overview of the concepts, principles, and procedures of multiple testing. It then presents statistical methods for analyzing clinical dose response studies that compare several dose levels with a control as well as statistical methods for analyzing multiple endpoints in clinical trials. After covering gatekeeping procedures for testing hierarchically ordered hypotheses, the book discusses statistical approaches for the design and analysis of adaptive designs and related confirmatory hypothesis testing problems. The final chapter focuses on the design of pharmacogenomic studies based on established statistical principles. It also describes the analysis of data collected in these studies, taking into account the numerous multiplicity issues that occur.This volume explains how to solve critical issues in multiple testing encountered in pre-clinical and clinical trial applications. It presents the necessary statistical methodology, along with examples and software code to show how to use the methods in practice.
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Multiple Testing Problems in Pharmaceutical Statistics
Published by Taylor & Francis Group, 2009
ISBN 10: 1584889845 ISBN 13: 9781584889847
Language: English
Condition: New. pp. 320 Illus. This item is printed on demand.
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£ 101.49
Convert currency£ 21.68 shipping from Germany to United KingdomQuantity: Over 20 available
Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Alex Dmitrienko is a research advisor in Global Statistical Sciences at Eli Lilly and Company in Indianapolis, Indiana.Ajit C. Tamhane is senior associate dean and professor of industrial engineering and managemen.
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Hardcover. Condition: Brand New. 1st edition. 320 pages. 9.57x6.50x0.91 inches. In Stock. This item is printed on demand.
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£ 158.65
Convert currency£ 12.14 shipping from Germany to United KingdomQuantity: 1 available
Add to basketBuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Bringing together leading statisticians, scientists, and clinicians from the pharmaceutical industry, academia, and regulatory agencies, this volume explores the rapidly growing area of multiple comparison research with an emphasis on pharmaceutical applications. It describes important multiplicity problems encountered in pre-clinical and clinical trial settings. The book includes numerous case studies from actual pre-clinical experiments and clinical trials to help readers quickly learn common multiple testing methods and apply them to real-life problems. It also reviews relevant regulatory guidelines and implements the methods using SAS and R. The data sets and code are available on the book's website.
