CLINICAL TRIAL DATA ANALYSIS USING R AND SAS 2ND EDITION. Dieser Artikel ist nicht verfügbar.
Sprache: Englisch
Verlag: Chapman and Hall/CRC, 2017
- Softcover
- Neu
Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USARomtrade Corp.
Verkäufer:in bei ZVAB seit 17. April 2013
Zustand: Neu
EUR 45,19
Artikelbeschreibung des Verkäufers
Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.
Bestandsnummer des Verkäufers ABNR-6114
- Titel
- CLINICAL TRIAL DATA ANALYSIS USING R AND SAS 2ND EDITION
- Autor
- DING GENG CHEN, KARL E. PEACE, PINGGAO ZHANG
- Verlag
- Chapman and Hall/CRC
- Erscheinungsjahr
- 2017
- Zustand
- New
- Einband
- Softcover
- Sprache
- Englisch
- ISBN-10
- 1498779522
- ISBN-13
- 9781498779524
- Auflage
- 2. Auflage, Internationale Ausgabe
- Serie
- Buch 79 von 155: Chapman & Hall/CRC Biostatistics
Review of the First Edition
"The goal of this book, as stated by the authors, is to fill the knowledge gap that exists between developed statistical methods and the applications of these methods. Overall, this book achieves the goal successfully and does a nice job. I would highly recommend it …The example-based approach is easy to follow and makes the book a very helpful desktop reference for many biostatistics methods."
—Journal of Statistical Software
Clinical Trial Data Analysis Using R and SAS, Second Edition
provides a thorough presentation of biostatistical analyses of clinical trial data with step-by-step implementations using R and SAS. The book’s practical, detailed approach draws on the authors’ 30 years’ experience in biostatistical research and clinical development. The authors develop step-by-step analysis code using appropriate R packages and functions and SAS PROCS, which enables readers to gain an understanding of the analysis methods and R and SAS implementation so that they can use these two popular software packages to analyze their own clinical trial data.
What’s New in the Second Edition
- Covers the biostatistical aspects of various clinical trials, including treatment comparisons, time-to-event endpoints, longitudinal clinical trials, and bioequivalence trials.
„Inhaltsangabe“ gehört möglicherweise zu einer anderen Auflage dieses Titels.
Über die Autorin bzw. den Autor
Ding-Geng (Din) Chen, Ph.D., is a professor at the University of Rochester Medical Center. Dr. Chen has vast experience in
biostatistical research and clinical trial development and methodology. He has authored or co-authored more than 100 journal
publications on biostatistical methodologies and applications. He is also the co-author (with Dr. Peace) of Clinical Trial Methodology
and Clinical Trial Data Analysis Using R and a co-editor (with Drs. Sun and Peace) of Interval-Censored Time-to-Event Data: Methods
and Applications. He is a member of the American Statistical Association, chair for the STAT section of the American Public Health
Association, an associate editor of the Journal of Statistical Computation and Simulation, and an editorial board member of several
other journals.
Karl E. Peace, Ph.D., is the Georgia Cancer Coalition Distinguished Cancer Scholar, senior research scientist, and professor of
biostatistics in the Jiann-Ping Hsu College of Public Health at Georgia Southern University. He is also an adjunct professor of
biostatistics at the VCU School of Medicine. Dr. Peace is a reviewer or editor of several journals, the founding editor of the Journal of
Biopharmaceutical Statistics, and a fellow of the American Statistical Association. He has authored or co-authored over 150 articles
and 10 books. He has received numerous awards, including the University System of Georgia Board of Regents’ Alumni Hall of Fame
Award, the First President’s Medal for outstanding contributions to Georgia Southern University, and distinguished meritorious service
awards from the American Public Health Association and other organizations. In 2012, the American Statistical Association created the
Karl E. Peace Award for Outstanding Statistical Contributions for the Betterment of Society.
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