Clinical-Trials Books
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A Mystery that that takes a view from the other side of the tracks.Review Date: 2007-12-25
Entertaining ReadReview Date: 2002-05-07
Clinical TrialReview Date: 2001-12-15
great readReview Date: 2001-07-25
Complicated medical thriller with a Native American theme.Review Date: 2001-01-01

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A must for biostatisticiansReview Date: 2000-12-22
A question from the autourReview Date: 2000-12-11
With best regards Dr. Shahrokh Izadi
now a classic and still a great referenceReview Date: 2000-12-22
There is a wealth of methods included, many different designs and various parametric and nonparametric analysis techniques. It is aimed at biostatisticians in the pharmaceutical industry and the medical research field. The book is very much suited for an advanced undergraduate or graduate level course for students majoring in statistics or biostatistics. The level of mathematics is high but not excessively used. Mathematical results on sample size determination are deferred to an appendix.
The Wiley editors choose only successful books to be included in their Classics Library series. The intent of the Classics series is to take popular books by distinguished authors and create a paperback edition that may be more affordable than the hardcovered edition still in print. It is not a revision of the book. This book entered the Classics series in 1999.
It is a great reference source and I plan to consult it a great deal in the future. The only drawback to it that I see is that it is not up to date. The last 15 years has seen many advances in group sequential methods, Bayesian designs and longitudinal data analysis that this text misses. So Fleiss' book is not one stop shopping for a clinical biostatistician but it does offer a lot and presents it eloquently.
With regard to reviewer Izadi's comments on Amazon, I think the appropriate way to ask this question is really to write the author. Since it is here in print for the readers, I will attempt a reply. I think there is a misinterpretation of the terminology. When Fleiss refers to mean logarithms he is not referring to the population means on the log scale but rather the logarithm of the population mean on the original scale. With the latter interpretation equation 3.25 makes perfect sense. It is the former interpretation of the parameters that the reviewers point addresses. The importance in the example is to demonstrate the lack of robustness of t or F tests to non-normal (e.g. lognormal) data and to show that tests and confidence intervals can still be accomplished using the normal theory after the transformation. The key point is that it is the ratio of the parameters that is transformed into differences of the log of the parameters.
great reference, now a classicReview Date: 2008-02-08
There is a wealth of methods included, many different designs and various parametric and nonparametric analysis techniques. It is aimed at biostatisticians in the pharmaceutical industry and the medical research field. The book is very much suited for an advanced undergraduate or graduate level course for students majoring in statistics or biostatistics. The level of mathematics is high but not excessively used. Mathematical results on sample size determination are deferred to an appendix.
The Wiley editors choose only successful books to be included in their Classics Library series. The intent of the Classics series is to take popular books by distinguished authors and create a paperback edition that may be more affordable than the hardcovered edition still in print. It is not a revision of the book. This book entered the Classics series in 1999.
It is a great reference source and I plan to consult it a great deal in the future. The only drawback to it that I see is that it is not up to date. The last 15 years has seen many advances in group sequential methods, Bayesian designs and longitudinal data analysis that this text misses. So Fleiss' book is not one stop shopping for a clinical biostatistician but it does offer a lot and presents it eloquently.
With regard to reviewer Izadi's comments on Amazon, I think the appropriate way to ask this question is really to write the author. Since it is here in print for the readers, I will attempt a reply. I think there is a misinterpretation of the terminology. When Fleiss refers to mean logarithms he is not referring to the population means on the log scale but rather the logarithm of the population mean on the original scale. With the latter interpretation equation 3.25 makes perfect sense. It is the former interpretation of the parameters that the reviewers point addresses. The importance in the example is to demonstrate the lack of robustness of t or F tests to non-normal (e.g. lognormal) data and to show that tests and confidence intervals can still be accomplished using the normal theory after the transformation. The key point is that it is the ratio of the parameters that is transformed into differences of the log of the parameters.

This text is the industry standard.Review Date: 1998-10-20
The best guideline book on the subject.Review Date: 1998-10-15
Mediocre book - full of fluffReview Date: 1999-09-23
If you're a complete novice, it may be of use, but you will outgrow it after a few months. And unfortunately, the book is somewhat outdated--clinical trials are much more sophisticated now. I'm not sure what the person below is talking about--using it after 30 years in the industry!?! Anyone who's been in the industry for more than couple of years should know everything there is in this book.
Good reference for Start-up CompaniesReview Date: 2003-04-03

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ideal book for those analyzing clinical trials Review Date: 2007-08-13
Overly complicated languageReview Date: 2006-11-29
Comprehensive and thoroughReview Date: 2006-08-24

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Most useful book...Review Date: 2008-06-13
Informative, easy to read, and helpfulReview Date: 2008-06-13
Very informativeReview Date: 2008-05-29

$189.00????Review Date: 2008-01-08
Regulatory Affairs Textbook StandardReview Date: 2007-05-13
Gray's anatomy for regulatory affairsReview Date: 2000-11-15

A concise and thorough introduction to clinical research.Review Date: 1998-10-05
A must-buy for people interested in clinical trials!Review Date: 1999-05-05

data monitoring described by the expertsReview Date: 2008-02-20
Tom Fleming and David DeMets are Professor of Biostatistics at University of Washington and Wisconsin University respectively. They are among the world's leading experts in group sequential methods. Fleming is famous for the O'Brien-Fleming stopping rule that bears his name and DeMets is known for the Lan-DeMets alpha spending function approach to group sequential analysis.
With such experts and excellent writers you get what you should expec t, an authoritative treatment of the practical and technical aspects of the monitoring of data by Data Monitoring Committees (DMCs, previously called Data Safety and Monitoring Boards, DMSBs). These committees look at interim data from a clinical trial to judge whether the trial should be stopped early for safety concerns. In their charter they can set-up their own rule or can debate and make subjective decisions. These authors through their experience present examples and also formal statistical methods that can be used not only to stop for safety concerns but also to stop if safety and efficacy are demonstrated earlier than anticipated in the design. Also if the trial is clearly going to be unsuccessful they can stop for futility as well.
The development of group sequential methods and adaptive designs make a formal analysis for the DMC possible. For a detailed account of group sequential methods see the book by Jennison and Turnbull. For adaptive designs the two books by Mark Chang (one co-authored with Professor Chow) are excellent. Another excellent book similar to this text is the text by Proschan, Lan and Wittes which covers the theory and applications more than the aspects of the DMC.
Excellent GuideReview Date: 2006-12-26

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pharm and ototoxicityReview Date: 2008-12-09
good infoReview Date: 2007-06-13

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DisappointedReview Date: 2002-09-20
Check it out before you buy it!
Good training material for sites and IRBsReview Date: 2002-02-12
Comprehensive Content Makes for Excellent Educational ToolReview Date: 2000-03-02
Protecting Study Volunteers in ResearchReview Date: 2000-02-25
Must reading for protecting research subjectsReview Date: 2000-01-27
Covance, Director of Clinical Research Education, Investigative Site Services (e-CRO) Adjunct Professor in Pharmaceutics Temple University School of Pharmacy Quality Assurance - Regulatory Affairs Graduate Program
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This is a pretty good medical thriller. The author does a good job of showing the various sides of people so until the end your never really sure who's good, who's bad and who doesnt matter. Also it is an interesting take on the good and bad with the preservation. Every decison can seems like the Indians are being used or decevied, every choice seems like it can take somthing away. Which makes it easier to see why Monty is so dead set against anything being done on the reservation. All and a good mystery if you like books that take a differnt look at things. m.a.c