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Handbook of Statistics in Clinical Oncology
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Handbook of Statistics in Clinical Oncology

Book Details

Format Hardback or Cased Book
ISBN-10 1439862001
ISBN-13 9781439862001
Publisher Taylor & Francis Inc
Imprint Chapman & Hall/CRC
Country of Manufacture US
Country of Publication GB
Publication Date Mar 26th, 2012
Print length 658 Pages
Weight 1,098 grams
Dimensions 16.30 x 23.60 x 3.60 cms
Ksh 30,600.00
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The third edition presents up-to-date statistical approaches to the design and analysis of oncology clinical trials. New topics include trial designs for targeted agents, Bayesian trial design, and the inclusion of high-dimensional data and imaging techniques. It also contains numerous figures and examples to better explain concepts.

Many new challenges have arisen in the area of oncology clinical trials. New cancer therapies are often based on cytostatic or targeted agents, which pose new challenges in the design and analysis of all phases of trials. The literature on adaptive trial designs and early stopping has been exploding. Inclusion of high-dimensional data and imaging techniques have become common practice, and statistical methods on how to analyse such data have been refined in this area. A compilation of statistical topics relevant to these new advances in cancer research, this third edition of Handbook of Statistics in Clinical Oncology focuses on the design and analysis of oncology clinical trials and translational research.

Addressing the many challenges that have arisen since the publication of its predecessor, this third edition covers the newest developments involved in the design and analysis of cancer clinical trials, incorporating updates to all four parts:

  • Phase I trials: Updated recommendations regarding the standard 3 + 3 and continual reassessment approaches, along with new chapters on phase 0 trials and phase I trial design for targeted agents.
  • Phase II trials: Updates to current experience in single-arm and randomized phase II trial designs. New chapters include phase II designs with multiple strata and phase II/III designs.
  • Phase III trials: Many new chapters include interim analyses and early stopping considerations, phase III trial designs for targeted agents and for testing the ability of markers, adaptive trial designs, cure rate survival models, statistical methods of imaging, as well as a thorough review of software for the design and analysis of clinical trials.
  • Exploratory and high-dimensional data analyses: All chapters in this part have been thoroughly updated since the last edition. New chapters address methods for analyzing SNP data and for developing a score based on gene expression data. In addition, chapters on risk calculators and forensic bioinformatics have been added.

Accessible to statisticians and oncologists interested in clinical trial methodology, the book is a single-source collection of up-to-date statistical approaches to research in clinical oncology.


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