There is an increasing need for educational resources for statisticians and investigators. Reflecting this, the goal of this book is to provide readers with a sound foundation in the statistical design, conduct, and analysis of clinical trials. Furthermore, it is intended as a guide for statisticians and investigators with minimal clinical trial experience who are interested in pursuing a career in this area. The advancement in genetic and molecular technologies have revolutionized drug development. In recent years, clinical trials have become increasingly sophisticated as they incorporate genomic studies, and efficient designs (such as basket and umbrella trials) have permeated the field. This book offers the requisite background and expert guidance for the innovative statistical design and analysis of clinical trials in oncology.

Key Features:

Cutting-edge topics with appropriate technical background
Built around case studies which give the work a "hands-on" approach
Real examples of flaws in previously reported clinical trials and how to avoid them
Access to statistical code on the book's website
Chapters written by internationally recognized statisticians from academia and pharmaceutical companies
Carefully edited to ensure consistency in style, level, and approach
Topics covered include innovating phase I and II designs, trials in immune-oncology and rare diseases, among many others

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Yes, you can access Textbook of Clinical Trials in Oncology by Susan Halabi, Stefan Michiels, Susan Halabi, Stefan Michiels in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Chapman and Hall/CRC

Year

2019

ISBN

9781351620963

Edition

Topic

Mathematics

Subtopic

Probability & Statistics

Index

Mathematics

Cover
Half Title
Title Page
Copyright Page
Dedication
Contents
Acknowledgment
Editors
Contributors
1. Introduction to Clinical Trials
Section I: Early to Middle Development
Section II: Late Phase Clinical Trials
Section III: Personalized Medicine
Section IV: Advanced Topics
Index