Bayesian Methods and Ethics in a Clinical Trial Design

How to conduct clinical trials in an ethical and scientifically responsible manner
This book presents a methodology for clinical trials that produces improved health outcomes for patients while obtaining sound and unambiguous scientific data. It centers around a real–world test case—involving a treatment for hypertension after open heart surgery—and explains how to use Bayesian methods to accommodate both ethical and scientific imperatives.
The book grew out of the direct involvement in the project by a diverse group of experts in medicine, statistics, philosophy, and the law. Not only do they contribute essays on the scientific, technological, legal, and ethical aspects of clinical trials, but they also critique and debate each other′s opinions, creating an interesting, personalized text.
Bayesian Methods and Ethics in a Clinical Trial Design Answers commonly raised questions about Bayesian methods Describes the advantages and disadvantages of this method compared with other methods Applies current ethical theory to a particular class of design for clinical trials Discusses issues of informed consent and how to serve a patient′s best interest while still obtaining uncontaminated scientific data Shows how to use Bayesian probabilistic methods to create computer models from elicited prior opinions of medical experts on the best treatment for a type of patient Contains several chapters on the process, results, and computational aspects of the test case in question Explores American law and the legal ramifications of using human subjects
For statisticians and biostatisticians, and for anyone involved with medicine and public health, this book provides both a practical guide and a unique perspective on the connection between technological developments, human factors, and some of the larger ethical issues of our times.

Spis treści:
Partial table of contents:
M AJOR ISSUES.
Ethically Optimizing Clinical Trials (K. Schaffner).
Admissibility of Treatment (N. Sedransk).
TEST CASE: VERAPAMIL/NITROPRUSSIDE.
The Mechanics of Conducting a Clinical Trial (E. Heitmiller & T. Blanck).
Issues of Statistical Design (N. Sedransk).
Operational History and Procedural Feasibility (J. Kadane).
Verapamil versus Nitroprusside: Results of the Clinical Trial I (J. Kadane & N. Sedransk).
Verapamil versus Nitroprusside: Results of the Clinical Trial II (E. Heitmiller, et al.).
OTHER ISSUES.
Author′s Response to Commentaries I and II (D. Kairys).
EPILOGUE.
Epilogue (J. Kadane).
Indexes.

Nota biograficzna:
JOSEPH B. KADANE is Leonard J. Savage Professor of Statistics and Social Sciences at Carnegie Mellon University. He has published over one hundred papers on statistical theory and applications, edited the book Robustness of Bayesian Analysis, and coedited Statistics and the Law.

Okładka tylna:
How to conduct clinical trials in an ethical and scientifically responsible manner
This book presents a methodology for clinical trials that produces improved health outcomes for patients while obtaining sound and unambiguous scientific data. It centers around a real–world test case—involving a treatment for hypertension after open heart surgery—and explains how to use Bayesian methods to accommodate both ethical and scientific imperatives.
The book grew out of the direct involvement in the project by a diverse group of experts in medicine, statistics, philosophy, and the law. Not only do they contribute essays on the scientific, technological, legal, and ethical aspects of clinical trials, but they also critique and debate each other′s opinions, creating an interesting, personalized text.
Bayesian Methods and Ethics in a Clinical Trial Design Answers commonly raised questions about Bayesian methods Describes the advantages and disadvantages of this method compared with other methods Applies current ethical theory to a particular class of design for clinical trials Discusses issues of informed consent and how to serve a patient′s best interest while still obtaining uncontaminated scientific data Shows how to use Bayesian probabilistic methods to create computer models from elicited prior opinions of medical experts on the best treatment for a type of patient Contains several chapters on the process, results, and computational aspects of the test case in question Explores American law and the legal ramifications of using human subjects
For statisticians and biostatisticians, and for anyone involved with medicine and public health, this book provides both a practical guide and a unique perspective on the connection between technological developments, human factors, and some of the larger ethical issues of our times.