Statistical Aspects Of The Design And Analysis Of Clinical Trials (Revised Edition)

Statistical Aspects Of The Design And Analysis Of Clinical Trials (Revised Edition)

Author: Brian S Everitt

Publisher: World Scientific

Published: 2004-02-26

Total Pages: 338

ISBN-13: 1783260777

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Fully updated, this revised edition describes the statistical aspects of both the design and analysis of trials, with particular emphasis on the more recent methods of analysis.About 8000 clinical trials are undertaken annually in all areas of medicine, from the treatment of acne to the prevention of cancer. Correct interpretation of the data from such trials depends largely on adequate design and on performing the appropriate statistical analyses. This book provides a useful guide to medical statisticians and others faced with the often difficult problems of designing and analysing clinical trials./a


Clinical Trials

Clinical Trials

Author: Duolao Wang

Publisher: Remedica

Published: 2006

Total Pages: 497

ISBN-13: 1901346722

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This book explains statistics specifically for a medically literate audience. Readers gain not only an understanding of the basics of medical statistics, but also a critical insight into how to review and evaluate clinical trial evidence.


Design and Analysis of Clinical Trials with Time-to-Event Endpoints

Design and Analysis of Clinical Trials with Time-to-Event Endpoints

Author: Karl E. Peace

Publisher: CRC Press

Published: 2009-04-23

Total Pages: 618

ISBN-13: 1420066404

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Using time-to-event analysis methodology requires careful definition of the event, censored observation, provision of adequate follow-up, number of events, and independence or "noninformativeness" of the censoring mechanisms relative to the event. Design and Analysis of Clinical Trials with Time-to-Event Endpoints provides a thorough presentation o


Small Clinical Trials

Small Clinical Trials

Author: Institute of Medicine

Publisher: National Academies Press

Published: 2001-01-01

Total Pages: 221

ISBN-13: 0309171148

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Clinical trials are used to elucidate the most appropriate preventive, diagnostic, or treatment options for individuals with a given medical condition. Perhaps the most essential feature of a clinical trial is that it aims to use results based on a limited sample of research participants to see if the intervention is safe and effective or if it is comparable to a comparison treatment. Sample size is a crucial component of any clinical trial. A trial with a small number of research participants is more prone to variability and carries a considerable risk of failing to demonstrate the effectiveness of a given intervention when one really is present. This may occur in phase I (safety and pharmacologic profiles), II (pilot efficacy evaluation), and III (extensive assessment of safety and efficacy) trials. Although phase I and II studies may have smaller sample sizes, they usually have adequate statistical power, which is the committee's definition of a "large" trial. Sometimes a trial with eight participants may have adequate statistical power, statistical power being the probability of rejecting the null hypothesis when the hypothesis is false. Small Clinical Trials assesses the current methodologies and the appropriate situations for the conduct of clinical trials with small sample sizes. This report assesses the published literature on various strategies such as (1) meta-analysis to combine disparate information from several studies including Bayesian techniques as in the confidence profile method and (2) other alternatives such as assessing therapeutic results in a single treated population (e.g., astronauts) by sequentially measuring whether the intervention is falling above or below a preestablished probability outcome range and meeting predesigned specifications as opposed to incremental improvement.


Design and Analysis of Quality of Life Studies in Clinical Trials

Design and Analysis of Quality of Life Studies in Clinical Trials

Author: Diane L. Fairclough

Publisher: CRC Press

Published: 2010-01-07

Total Pages: 419

ISBN-13: 1420061186

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Design Principles and Analysis Techniques for HRQoL Clinical TrialsSAS, R, and SPSS examples realistically show how to implement methods Focusing on longitudinal studies, Design and Analysis of Quality of Life Studies in Clinical Trials, Second Edition addresses design and analysis aspects in enough detail so that readers can apply statistical meth


Recent Advances in Clinical Trial Design and Analysis

Recent Advances in Clinical Trial Design and Analysis

Author: Peter F. Thall

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 263

ISBN-13: 1461520096

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Clinical trials have two purposes -- to treat the patients in the trial, and to obtain information which increases our understanding of the disease and especially how patients respond to treatment. Statistical design provides a means to achieve both these aims, while statistical data analysis provides methods for extracting useful information from the trial data. Recent advances in statistical computing have enabled statisticians to implement very rapidly a broad array of methods which previously were either impractical or impossible. Biostatisticians are now able to provide much greater support to medical researchers working in both clinical and laboratory settings. As our collective toolkit of techniques for analyzing data has grown, it has become increasingly difficult for biostatisticians to keep up with all the developments in our own field. Recent Advances in Clinical Trial Design and Analysis brings together biostatisticians doing cutting-edge research and explains some of the more recent developments in biostatistics to clinicians and scientists who work in clinical trials.


Design and Analysis of Clinical Experiments

Design and Analysis of Clinical Experiments

Author: Joseph L. Fleiss

Publisher: John Wiley & Sons

Published: 2011-01-25

Total Pages: 458

ISBN-13: 1118031172

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First published in 1986, this unique reference to clinical experimentation remains just as relevant today. Focusing on the principles of design and analysis of studies on human subjects, this book utilizes and integrates both modern and classical designs. Coverage is limited to experimental comparisons of treatments, or in other words, clinical studies in which treatments are assigned to subjects at random.


ClinicalTrials

ClinicalTrials

Author: Curtis L. Meinert

Publisher: OUP USA

Published: 2012-03-27

Total Pages: 702

ISBN-13: 0195387880

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The classic, definitive guide to the design, conduct, and analysis of randomized clinical trials.


Design and Analysis of Quality of Life Studies in Clinical Trials

Design and Analysis of Quality of Life Studies in Clinical Trials

Author: Diane L. Fairclough

Publisher: CRC Press

Published: 2002-03-28

Total Pages: 332

ISBN-13: 9781584882633

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More and more frequently, clinical trials include the evaluation of Health-Related Quality of Life (HRQoL), yet many investigators remain unaware of the unique measurement and analysis issues associated with the assessment of HRQoL. At the end of a study, clinicians and statisticians often face challenging and sometimes insurmountable analytic problems. Design and Analysis of Quality of Life Studies in Clinical Trials details these issues and presents a range of solutions. Written from the author's extensive experience in the field, it focuses on the very specific features of QoL data: its longitudinal nature, multidimensionality, and the problem of missing data. The author uses three real clinical trials throughout her discussions to illustrate practical implementation of the strategies and analytic methods presented. As Quality of Life becomes an increasingly important aspect of clinical trials, it becomes essential for clinicians, statisticians, and designers of these studies to understand and meet the challenges this kind of data present. In this book, SAS and S-PLUS programs, checklists, numerous figures, and a clear, concise presentation combine to provide readers with the tools and skills they need to successfully design, conduct, analyze, and report their own studies.