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Design and Analysis of Clinical Trials: Concepts and Methodologies (Wiley Series in Probability and Statistics) [Hardcover]

Shein-Chung Chow (Author), Jen-Pei Liu (Author)
3.0 out of 5 stars  See all reviews (2 customer reviews)

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Book Description

December 8, 2003 0471249858 978-0471249856 2
Praise for the First Edition of Design and Analysis of Clinical Trials

"An excellent book, providing a discussion of the clinical trial process from designing the study through analyzing the data, and to regulatory requirement . . . could easily be used as a classroom text to understand the process in the new drug development area."
Statistical Methods in Medicine

A complete and balanced presentation now revised, updated, and expanded
As the field of research possibilities expands, the need for a working understanding of how to carry out clinical trials only increases. New developments in the theory and practice of clinical research include a growing body of literature on the subject, new technologies and methodologies, and new guidelines from the International Conference on Harmonization (ICH).

Design and Analysis of Clinical Trials, Second Edition provides both a comprehensive, unified presentation of principles and methodologies for various clinical trials, and a well-balanced summary of current regulatory requirements. This unique resource bridges the gap between clinical and statistical disciplines, covering both fields in a lucid and accessible manner. Thoroughly updated from its first edition, the Second Edition of Design and Analysis of Clinical Trials features new topics such as:

  • Clinical trials and regulations, especially those of the ICH
  • Clinical significance, reproducibility, and generalizability
  • Goals of clinical trials and target population
  • New study designs and trial types
  • Sample size determination on equivalence and noninferiority trials, as well as comparing variabilities

Also, three entirely new chapters cover:

  • Designs for cancer clinical trials
  • Preparation and implementation of a clinical protocol
  • Data management of a clinical trial

Written with the practitioner in mind, the presentation assumes only a minimal mathematical and statistical background for its reader. Instead, the writing emphasizes real-life examples and illustrations from clinical case studies, as well as numerous references-280 of them new to the Second Edition-to the literature. Design and Analysis of Clinical Trials, Second Edition will benefit academic, pharmaceutical, medical, and regulatory scientists/researchers, statisticians, and graduate-level students in these areas by serving as a useful, thorough reference source for clinical research.


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Design and Analysis of Clinical Trials: Concepts and Methodologies (Wiley Series in Probability and Statistics) + Statistical Methods for Survival Data Analysis (Wiley Series in Probability and Statistics)
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Editorial Reviews

Review

"It stands ready to satisfy the appetite of any pharmaceutical scientist with a respectable statistical appetite." (Journal of Clinical Research, June 2008)

"Biostatisticians, applied statisticians, and clinical scientists will find this book very valuable, and it is suitable for a graduate level clinical trial course." (Journal of Statistical Computation and Simulation, September 2005)

"…a comprehensive introduction…highly recommended…" (Statistical Methods in Medical Research, Vol. 14, 2005)

"…I will find this book a handy resource for future consulting with medical researchers." (Journal of the American Statistical Association, June 2005)

"…the authors have done a commendable job of blending large amounts of statistical and regulatory information in a way that is easy to comprehend and directly applicable…" (Clinical Chemistry, April 2005)

"…provides a comprehensive overview of the rather general area of clinical trials…an essential reference text." (Journal of Applied Statistics, Vol.32, No.3, April 2005)

"Numerous real-life examples and illustrations form clinical case studies are included…" (Zentralblatt Math, Vol.1050, 2005)

"…certainly comprehensive...should be a standard reference for both clinical scientists and biostatisticians…" (Technometrics, February 2005)

From the Back Cover

Praise for the First Edition of Design and Analysis of Clinical Trials

"An excellent book, providing a discussion of the clinical trial process from designing the study through analyzing the data, and to regulatory requirement . . . could easily be used as a classroom text to understand the process in the new drug development area."
–Statistical Methods in Medicine

A complete and balanced presentation now revised, updated, and expanded

As the field of research possibilities expands, the need for a working understanding of how to carry out clinical trials only increases. New developments in the theory and practice of clinical research include a growing body of literature on the subject, new technologies and methodologies, and new guidelines from the International Conference on Harmonization (ICH).

Design and Analysis of Clinical Trials, Second Edition provides both a comprehensive, unified presentation of principles and methodologies for various clinical trials, and a well-balanced summary of current regulatory requirements. This unique resource bridges the gap between clinical and statistical disciplines, covering both fields in a lucid and accessible manner. Thoroughly updated from its first edition, the Second Edition of Design and Analysis of Clinical Trials features new topics such as:

  • Clinical trials and regulations, especially those of the ICH
  • Clinical significance, reproducibility, and generalizability
  • Goals of clinical trials and target population
  • New study designs and trial types
  • Sample size determination on equivalence and noninferiority trials, as well as comparing variabilities

Also, three entirely new chapters cover:

  • Designs for cancer clinical trials
  • Preparation and implementation of a clinical protocol
  • Data management of a clinical trial

Written with the practitioner in mind, the presentation assumes only a minimal mathematical and statistical background for its reader. Instead, the writing emphasizes real-life examples and illustrations from clinical case studies, as well as numerous references–280 of them new to the Second Edition–to the literature. Design and Analysis of Clinical Trials, Second Edition will benefit academic, pharmaceutical, medical, and regulatory scientists/researchers, statisticians, and graduate-level students in these areas by serving as a useful, thorough reference source for clinical research.


Product Details

  • Hardcover: 752 pages
  • Publisher: Wiley-Interscience; 2 edition (December 8, 2003)
  • Language: English
  • ISBN-10: 0471249858
  • ISBN-13: 978-0471249856
  • Product Dimensions: 10.1 x 7.1 x 1.5 inches
  • Shipping Weight: 2.9 pounds (View shipping rates and policies)
  • Average Customer Review: 3.0 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon Best Sellers Rank: #967,968 in Books (See Top 100 in Books)

 

Customer Reviews

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Most Helpful Customer Reviews

16 of 16 people found the following review helpful:
5.0 out of 5 stars Most complete reference on the topic, September 6, 2006
By 
Brant Inman (Somewhere out there) - See all my reviews
(REAL NAME)   
This review is from: Design and Analysis of Clinical Trials: Concepts and Methodologies (Wiley Series in Probability and Statistics) (Hardcover)
I own several books on clinical trials and this one is my favorite. It is biblical in its treatment of the topic and always seems to contain what my other books don't.

There are a few strengths that are particularly worth pointing out:

1) Makes many references to regulatory guidelines.

2) Excellent coverage of the various trial designs.

3) Good sample size chapter.

4) Several chapters on how to practically implement a trial.

Other options include:

-Piantodosi (Clinical Trials: methodologic perspective): my second favorite, not as comprehensive as Chow and Liu

-Freidman and DeMets (Fundamentals of Clinical Trials): a bit too superficial but very well written

-Pocock (Clinical trials: practical approach): a bit dated and superficial
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3 of 3 people found the following review helpful:
1.0 out of 5 stars Disappointed, February 19, 2008
By 
Robert P. Hirsch (Rockville, MD USA) - See all my reviews
(REAL NAME)   
Amazon Verified Purchase(What's this?)
This review is from: Design and Analysis of Clinical Trials: Concepts and Methodologies (Wiley Series in Probability and Statistics) (Hardcover)
I selected this text for a new doctoral level course on clinical trials based mostly on the topics covered. When we started using it, I found many errors in logical thinking. So far, one of the worst is a view that randomization satisfies some statistical assumption. It does not. Its function is to make groups similar, on the average. It is not in any way a substitute for random sampling. Separating these two random processes is basic to understanding clinical trials. I am embarrassed that I had my students purchase this book.
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Inside This Book (learn more)
First Sentence:
Clinical trials are clinical investigations. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
test drug product, noninferiority hypothesis, placebo concurrent group, strict global superiority, multiple baseline measurements, test drug group, tmt tmtf, early clinical improvement, placebo concurrent control, expected bias factor, active concurrent control, blinded image evaluation, difference between the test drug, individual average efficacy, repeated categorical data, active dose levels, evaluable analysis, invoked population model, reproducibility probability, replicated crossover design, active control equivalence trials, experimentwise false positive rate, bridging evidence, concurrent placebo control, ath upper quantile
Key Phrases - Capitalized Phrases (CAPs): (learn more)
United States, John Wiley, National Institutes of Health, Placebo Placebo, European Community, Query Form, Federal Register, Blood Institute, National Heart, Placebo Fixed, Preferred Terms, Source of Variation Sum of Squares, World Health Organization, Data Set Identification, Data Transfer Request Form, Dose Dose, Ellen Roche, Example of Permutated-Block Randomization, Office of Pharmaceutical Science, Test One-Sided Test, Treatment Estimate, Working Party, Acceptability of Foreign Clinical Data, Baseline Mean, Biologic Drug Product Regulations
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