Ghosh samiran (19 Ergebnisse)

Zustand: New.

Zustand: New.

1st ed. 16 x 23 cm. 466 pages. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.

paperback. Zustand: Like New. Most items will be dispatched the same or the next working day. An apparently unread copy in perfect condition. Dust cover is intact with no nicks or tears. Spine has no signs of creasing. Pages are clean and not marred by notes or folds of any kind.

Paperback. Zustand: New. Brand new book, sourced directly from publisher. Dispatch time is 7-8 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Zustand: New.

Zustand: New.

Zustand: As New. Unread book in perfect condition.

Zustand: New.

Zustand: New.

Paperback. Zustand: Brand New. 466 pages. 9.21x6.14x0.94 inches. In Stock.

Hardcover. Zustand: New. Brand new book, sourced directly from publisher. Dispatch time is 7-8 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Zustand: New.

Zustand: As New. Unread book in perfect condition.

Zustand: New.

Zustand: New. pp. 468.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Cancer clinical trials have become increasingly complex, requiring statistical methodologies that are both rigorous and flexible across diverse study designs. This book provides a comprehensive and practice-oriented overview of the statistical methods underpinning modern oncology drug development, covering the full continuum from early-phase studies through confirmatory trials and regulatory submission.Organized by development phase, the text presents principled approaches to dose-escalation and dose-optimization, proof-of-concept decision-making, and master protocol designs. It further details methodologies for late-stage trials, including sample size determination, group-sequential monitoring, time-to-event analysis, multiplicity adjustment, and adaptive designs, with particular attention to challenges such as delayed treatment effects.In addition to confirmatory trial methodology, the book addresses advanced analytical topics, including subgroup evaluation, treatment switching, multi-phase treatment strategies, and bias adjustment techniques. Contemporary issues in oncology research such as the estimand framework, real-world evidence, seamless and platform trials, and emerging applications of artificial intelligence and machine learning are also discussed.Accessible yet rigorous, this book is an essential resource for biostatisticians, clinical researchers, and graduate students who want to design smarter trials, make better decisions, and accelerate the development of life-saving cancer therapies.…

Hardcover. Zustand: Brand New. 1st edition. 466 pages. 9.30x6.40x1.10 inches. In Stock.

Hardcover. Zustand: new. Hardcover. Cancer clinical trials have become increasingly complex, requiring statistical methodologies that are both rigorous and flexible across diverse study designs. This book provides a comprehensive and practice-oriented overview of the statistical methods underpinning modern oncology drug development, covering the full continuum from early-phase studies through confirmatory trials and regulatory submission.Organized by development phase, the text presents principled approaches to dose-escalation and dose-optimization, proof-of-concept decision-making, and master protocol designs. It further details methodologies for late-stage trials, including sample size determination, group-sequential monitoring, time-to-event analysis, multiplicity adjustment, and adaptive designs, with particular attention to challenges such as delayed treatment effects.In addition to confirmatory trial methodology, the book addresses advanced analytical topics, including subgroup evaluation, treatment switching, multi-phase treatment strategies, and bias adjustment techniques. Contemporary issues in oncology researchsuch as the estimand framework, real-world evidence, seamless and platform trials, and emerging applications of artificial intelligence and machine learningare also discussed.Accessible yet rigorous, this book is an essential resource for biostatisticians, clinical researchers, and graduate students who want to design smarter trials, make better decisions, and accelerate the development of life-saving cancer therapies. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…