Author : Scott Evans
Publisher : CRC Press
Page : 352 pages
File Size : 31,67 MB
Release : 2015-11-04
Category : Mathematics
ISBN : 1498767109
Fundamental Concepts for New Clinical Trialists describes the core scientific concepts of designing, data monitoring, analyzing, and reporting clinical trials as well as the practical aspects of trials not typically discussed in statistical methodology textbooks. The first section of the book provides background information about clinical trials. I
Author : Lawrence M. Friedman
Publisher : Springer Science & Business Media
Page : 384 pages
File Size : 23,36 MB
Release : 1998
Category : Medical
ISBN : 9780387985862
This classic reference, now updated with the newest applications and results, addresses the fundamentals of such trials based on sound scientific methodology, statistical principles, and years of accumulated experience by the three authors.
Author : Institute of Medicine
Publisher : National Academies Press
Page : 221 pages
File Size : 44,5 MB
Release : 2001-01-01
Category : Medical
ISBN : 0309171148
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.
Author : Michael A. Proschan
Publisher : CRC Press
Page : 276 pages
File Size : 13,57 MB
Release : 2021-11-24
Category : Mathematics
ISBN : 1351673106
Statistical Thinking in Clinical Trials combines a relatively small number of key statistical principles and several instructive clinical trials to gently guide the reader through the statistical thinking needed in clinical trials. Randomization is the cornerstone of clinical trials and randomization-based inference is the cornerstone of this book. Read this book to learn the elegance and simplicity of re-randomization tests as the basis for statistical inference (the analyze as you randomize principle) and see how re-randomization tests can save a trial that required an unplanned, mid-course design change. Other principles enable the reader to quickly and confidently check calculations without relying on computer programs. The `EZ’ principle says that a single sample size formula can be applied to a multitude of statistical tests. The `O minus E except after V’ principle provides a simple estimator of the log odds ratio that is ideally suited for stratified analysis with a binary outcome. The same principle can be used to estimate the log hazard ratio and facilitate stratified analysis in a survival setting. Learn these and other simple techniques that will make you an invaluable clinical trial statistician.
Author : Allan Hackshaw
Publisher : John Wiley & Sons
Page : 184 pages
File Size : 35,6 MB
Release : 2011-09-07
Category : Medical
ISBN : 1444356666
Clinical trials have revolutionized the way disease is prevented, detected and treated, and early death avoided, and they continue to be an expanding area of research. They are central to the work of pharmaceutical companies, and there are many academic and public sector organizations that conduct trials on a wide variety of interventions, including drugs, devices, surgical techniques, and changes in behaviour and lifestyle. A Concise Guide to Clinical Trials provides a comprehensive yet easy-to-read overview of the design, conduct and analysis of trials. It requires no prior knowledge on the subject as the important concepts are introduced throughout. There are chapters that distinguish between the different types of trials, and an introduction to systematic reviews, health-related quality of life and health economic evaluation. The book also covers the ethical and legal requirements in setting up a clinical trial due to an increase in governance responsibilities and regulations. This practical guidebook is ideal for busy clinicians and other health professionals who do not have enough time to attend courses or search through extensive textbooks. It will help anyone involved in undertaking clinical research, or those reading about trials. The book is aimed at: Those wishing to learn about clinical trials for the first time, or as a quick reference guide, for example as part of a taught course on clinical trials Health professionals who wish to conduct their own trials, or participate in other people’s studies People who work in pharmaceutical companies, grant funding organisations, or regulatory agencies
Author : Tie-Hua Ng
Publisher : CRC Press
Page : 212 pages
File Size : 15,33 MB
Release : 2014-12-01
Category : Mathematics
ISBN : 1466561491
Take Your NI Trial to the Next Level Reflecting the vast research on noninferiority (NI) designs from the past 15 years, Noninferiority Testing in Clinical Trials: Issues and Challenges explains how to choose the NI margin as a small fraction of the therapeutic effect of the active control in a clinical trial. Requiring no prior knowledge of NI testing, the book is easily accessible to both statisticians and nonstatisticians involved in drug development. With over 20 years of experience in this area, the author introduces the basic elements of the NI trials one at a time in a logical order. He discusses issues with estimating the effect size based on historical placebo control trials of the active control. The book covers fundamental concepts related to NI trials, such as assay sensitivity, constancy assumption, discounting, and preservation. It also describes patient populations, three-arm trials, and the equivalence of three or more groups.
Author : Richard Chin
Publisher : Elsevier
Page : 560 pages
File Size : 18,51 MB
Release : 2008-07-25
Category : Medical
ISBN : 0080557937
Clinical trials are an important part of medicine and healthcare today, deciding which treatments we use to treat patients. Anyone involved in healthcare today must know the basics of running and interpreting clinical trial data. Written in an easy-to-understand style by authors who have considerable expertise and experience in both academia and industry, Principles and Practice of Clinical Trial Medicine covers all of the basics of clinical trials, from legal and ethical issues to statistics, to patient recruitment and reporting results. - Jargon-free writing style enables those with less experience to run their own clinical trials and interpret data - Book contains an ideal mix of theory and practice so researchers will understand both the rationale and logistics to clinical trial medicine - Expert authorship whose experience includes running clinical trials in an academic as well as industry settings - Numerous illustrations reinforce and elucidate key concepts and add to the book's overall pedagogy
Author : Tom Brody
Publisher : Academic Press
Page : 897 pages
File Size : 19,88 MB
Release : 2016-02-19
Category : Medical
ISBN : 0128042583
Clinical Trials, Second Edition, offers those engaged in clinical trial design a valuable and practical guide. This book takes an integrated approach to incorporate biomedical science, laboratory data of human study, endpoint specification, legal and regulatory aspects and much more with the fundamentals of clinical trial design. It provides an overview of the design options along with the specific details of trial design and offers guidance on how to make appropriate choices. Full of numerous examples and now containing actual decisions from FDA reviewers to better inform trial design, the 2nd edition of Clinical Trials is a must-have resource for early and mid-career researchers and clinicians who design and conduct clinical trials. - Contains new and fully revised material on key topics such as biostatistics, biomarkers, orphan drugs, biosimilars, drug regulations in Europe, drug safety, regulatory approval and more - Extensively covers the "study schema" and related features of study design - Incorporates laboratory data from studies on human patients to provide a concrete tool for understanding the concepts in the design and conduct of clinical trials - Includes decisions made by FDA reviewers when granting approval of a drug as real world learning examples for readers
Author : Institute of Medicine
Publisher : National Academies Press
Page : 236 pages
File Size : 42,77 MB
Release : 2015-04-20
Category : Medical
ISBN : 0309316324
Data sharing can accelerate new discoveries by avoiding duplicative trials, stimulating new ideas for research, and enabling the maximal scientific knowledge and benefits to be gained from the efforts of clinical trial participants and investigators. At the same time, sharing clinical trial data presents risks, burdens, and challenges. These include the need to protect the privacy and honor the consent of clinical trial participants; safeguard the legitimate economic interests of sponsors; and guard against invalid secondary analyses, which could undermine trust in clinical trials or otherwise harm public health. Sharing Clinical Trial Data presents activities and strategies for the responsible sharing of clinical trial data. With the goal of increasing scientific knowledge to lead to better therapies for patients, this book identifies guiding principles and makes recommendations to maximize the benefits and minimize risks. This report offers guidance on the types of clinical trial data available at different points in the process, the points in the process at which each type of data should be shared, methods for sharing data, what groups should have access to data, and future knowledge and infrastructure needs. Responsible sharing of clinical trial data will allow other investigators to replicate published findings and carry out additional analyses, strengthen the evidence base for regulatory and clinical decisions, and increase the scientific knowledge gained from investments by the funders of clinical trials. The recommendations of Sharing Clinical Trial Data will be useful both now and well into the future as improved sharing of data leads to a stronger evidence base for treatment. This book will be of interest to stakeholders across the spectrum of research-from funders, to researchers, to journals, to physicians, and ultimately, to patients.
Author : Weichung Joe Shih
Publisher : CRC Press
Page : 380 pages
File Size : 23,42 MB
Release : 2021-10-26
Category : Medical
ISBN : 9781003176527
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.
