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000756348 020__ $$a9783319325620$$q(electronic book)
000756348 020__ $$a3319325620$$q(electronic book)
000756348 020__ $$z9783319325606
000756348 035__ $$aSP(OCoLC)ocn953456178
000756348 035__ $$aSP(OCoLC)953456178
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000756348 049__ $$aISEA
000756348 050_4 $$aR853.C55
000756348 08204 $$a610.72/4$$223
000756348 1001_ $$aWassmer, Gernot,$$eauthor.
000756348 24510 $$aGroup sequential and confirmatory adaptive designs in clinical trials$$h[electronic resource] /$$cGernot Wassmer, Werner Brannath.
000756348 264_1 $$aSwitzerland :$$bSpringer,$$c2016.
000756348 300__ $$a1 online resource (xvi, 301 pages) :$$billustrations.
000756348 336__ $$atext$$btxt$$2rdacontent
000756348 337__ $$acomputer$$bc$$2rdamedia
000756348 338__ $$aonline resource$$bcr$$2rdacarrier
000756348 4901_ $$aSpringer series in pharmaceutical statistics,$$x2366-8695
000756348 504__ $$aIncludes bibliographical references and index.
000756348 5050_ $$aPart I Group Sequential Designs -- Repeated Significance Tests: Procedures with Equally Sized Stages -- Procedures with Unequally Sized Stages -- Confidence Intervals, p -Values, and Point Estimation -- Applications -- Part II Adaptive Confirmatory Designs with a Single Hypothesis: Adaptive Group Sequential Tests -- Decision Tools for Adaptive Designs -- Estimation and p-Values for Two-stage Adaptive Designs -- Adaptive Designs with Survival Data -- Part III Adaptive Designs with Multiple Hypotheses: Multiple Testing in Adaptive Designs -- Applications and Case Studies -- Appendix -- Software for Adaptive Designs -- Index.
000756348 506__ $$aAccess limited to authorized users.
000756348 520__ $$aThis book provides an up-to-date review of the general principles of and techniques for confirmatory adaptive designs. Confirmatory adaptive designs are a generalization of group sequential designs. With these designs, interim analyses are performed in order to stop the trial prematurely under control of the Type I error rate. In adaptive designs, it is also permissible to perform a data-driven change of relevant aspects of the study design at interim stages. This includes, for example, a sample-size reassessment, a treatment-arm selection or a selection of a pre-specified sub-population. Essentially, this adaptive methodology was introduced in the 1990s. Since then, it has become popular and the object of intense discussion and still represents a rapidly growing field of statistical research. This book describes adaptive design methodology at an elementary level, while also considering designing and planning issues as well as methods for analyzing an adaptively planned trial. This includes estimation methods and methods for the determination of an overall p-value. Part I of the book provides the group sequential methods that are necessary for understanding and applying the adaptive design methodology supplied in Parts II and III of the book. The book contains many examples that illustrate use of the methods for practical application. The book is primarily written for applied statisticians from academia and industry who are interested in confirmatory adaptive designs. It is assumed that readers are familiar with the basic principles of descriptive statistics, parameter estimation and statistical testing. This book will also be suitable for an advanced statistical course for applied statisticians or clinicians with a sound statistical background.
000756348 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed July 18, 2016).
000756348 650_0 $$aClinical trials.
000756348 650_0 $$aClinical trials$$xStatistical methods.
000756348 7001_ $$aBrannath, Werner,$$eauthor.
000756348 830_0 $$aSpringer series in pharmaceutical statistics.
000756348 852__ $$bebk
000756348 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-32562-0$$zOnline Access$$91397441.1
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000756348 980__ $$aEBOOK
000756348 980__ $$aBIB
000756348 982__ $$aEbook
000756348 983__ $$aOnline
000756348 994__ $$a92$$bISE