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Handbook of Statistics in Clinical Oncology (Paperback, 3rd edition)
Loot Price: R1,923
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Handbook of Statistics in Clinical Oncology (Paperback, 3rd edition)
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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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