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Biomarker Analysis in Clinical Trials with R (Hardcover)
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Biomarker Analysis in Clinical Trials with R (Hardcover)
Series: Chapman & Hall/CRC Biostatistics Series
Expected to ship within 12 - 17 working days
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The world is awash in data. This volume of data will continue to
increase. In the pharmaceutical industry, much of this data
explosion has happened around biomarker data. Great statisticians
are needed to derive understanding from these data. This book will
guide you as you begin the journey into communicating,
understanding and synthesizing biomarker data. -From the Foreword,
Jared Christensen, Vice President, Biostatistics Early Clinical
Development, Pfizer, Inc. Biomarker Analysis in Clinical Trials
with R offers practical guidance to statisticians in the
pharmaceutical industry on how to incorporate biomarker data
analysis in clinical trial studies. The book discusses the
appropriate statistical methods for evaluating pharmacodynamic,
predictive and surrogate biomarkers for delivering increased value
in the drug development process. The topic of combining multiple
biomarkers to predict drug response using machine learning is
covered. Featuring copious reproducible code and examples in R, the
book helps students, researchers and biostatisticians get started
in tackling the hard problems of designing and analyzing trials
with biomarkers. Features: Analysis of pharmacodynamic biomarkers
for lending evidence target modulation. Design and analysis of
trials with a predictive biomarker. Framework for analyzing
surrogate biomarkers. Methods for combining multiple biomarkers to
predict treatment response. Offers a biomarker statistical analysis
plan. R code, data and models are given for each part: including
regression models for survival and longitudinal data, as well as
statistical learning models, such as graphical models and penalized
regression models.
General
Imprint: |
Crc Press
|
Country of origin: |
United Kingdom |
Series: |
Chapman & Hall/CRC Biostatistics Series |
Release date: |
April 2020 |
First published: |
2020 |
Authors: |
Nusrat Rabbee
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Dimensions: |
234 x 156 x 20mm (L x W x T) |
Format: |
Hardcover
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Pages: |
204 |
ISBN-13: |
978-1-138-36883-5 |
Categories: |
Books >
Science & Mathematics >
Biology, life sciences >
General
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LSN: |
1-138-36883-0 |
Barcode: |
9781138368835 |
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