Statistical Issues in the Design and Analysis of Clinical Trials

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Release : 2017-01-11
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Book Rating : 543/5 ( reviews)

Statistical Issues in the Design and Analysis of Clinical Trials - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistical Issues in the Design and Analysis of Clinical Trials write by Yanning Liu. This book was released on 2017-01-11. Statistical Issues in the Design and Analysis of Clinical Trials available in PDF, EPUB and Kindle.

Small Clinical Trials

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Release : 2001-01-01
Genre : Medical
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Book Rating : 148/5 ( reviews)

Small Clinical Trials - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Small Clinical Trials write by Institute of Medicine. This book was released on 2001-01-01. Small Clinical Trials available in PDF, EPUB and Kindle. 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.

Statistical Design, Monitoring, and Analysis of Clinical Trials

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Release : 2021-10-25
Genre : Medical
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Book Rating : 757/5 ( reviews)

Statistical Design, Monitoring, and Analysis of Clinical Trials - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistical Design, Monitoring, and Analysis of Clinical Trials write by Weichung Joe Shih. This book was released on 2021-10-25. Statistical Design, Monitoring, and Analysis of Clinical Trials available in PDF, EPUB and Kindle. Statistical Design, Monitoring, and Analysis of Clinical Trials, Second Edition concentrates on the biostatistics component of clinical trials. This new edition is updated throughout and includes five new chapters. Developed from the authors’ courses taught to public health and medical students, residents, and fellows during the past 20 years, the text shows how biostatistics in clinical trials is an integration of many fundamental scientific principles and statistical methods. The book begins with ethical and safety principles, core trial design concepts, the principles and methods of sample size and power calculation, and analysis of covariance and stratified analysis. It then focuses on sequential designs and methods for two-stage Phase II cancer trials to Phase III group sequential trials, covering monitoring safety, futility, and efficacy. The authors also discuss the development of sample size reestimation and adaptive group sequential procedures, phase 2/3 seamless design and trials with predictive biomarkers, exploit multiple testing procedures, and explain the concept of estimand, intercurrent events, and different missing data processes, and describe how to analyze incomplete data by proper multiple imputations. This text reflects the academic research, commercial development, and public health aspects of clinical trials. It gives students and practitioners a multidisciplinary understanding of the concepts and techniques involved in designing, monitoring, and analyzing various types of trials. The book’s balanced set of homework assignments and in-class exercises are appropriate for students and researchers in (bio)statistics, epidemiology, medicine, pharmacy, and public health.

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

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Release : 2004-02-26
Genre : Medical
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Book Rating : 777/5 ( reviews)

Statistical Aspects Of The Design And Analysis Of Clinical Trials (Revised Edition) - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistical Aspects Of The Design And Analysis Of Clinical Trials (Revised Edition) write by Brian S Everitt. This book was released on 2004-02-26. Statistical Aspects Of The Design And Analysis Of Clinical Trials (Revised Edition) available in PDF, EPUB and Kindle. 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

Design and Analysis of Quality of Life Studies in Clinical Trials

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Release : 2002-03-28
Genre : Mathematics
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Book Rating : 633/5 ( reviews)

Design and Analysis of Quality of Life Studies in Clinical Trials - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Design and Analysis of Quality of Life Studies in Clinical Trials write by Diane L. Fairclough. This book was released on 2002-03-28. Design and Analysis of Quality of Life Studies in Clinical Trials available in PDF, EPUB and Kindle. 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.