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Statistical Monitoring of Clinical Trials: A Unified Approach (Statistics for Biology and Health)
by Proschan, Michael A., Lan, K. K. Gordon, Wittes, Janet Turk (Paperback)
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Read Online Statistical Monitoring of Clinical Trials: A Unified Approach (Statistics for Biology and Health) ebook
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Statistical Monitoring Of Clinical Trials
Author by : Michael A. Proschan
Languange Used : en
Release Date : 2006-12-31
Publisher by : Springer Science & Business Media
ISBN :
Description : The approach taken in this book is, to studies monitored over time, what the Central Limit Theorem is to studies with only one analysis. Just as the Central Limit Theorem shows that test statistics involving very different types of clinical trial outcomes are asymptotically normal, this book shows that the joint distribution of the test statistics at different analysis times is asymptotically multivariate normal with the correlation structure of Brownian motion ("the B-value") – irrespective of the test statistic. Thus, this book offers statisticians an accessible, incremental approach to understanding Brownian motion as related to clinical trials....
Introduction To Statistical Methods For Clinical Trials
Author by : Thomas D. Cook
Languange Used : en
Release Date : 2007-11-19
Publisher by : CRC Press
ISBN :
Description : Clinical trials have become essential research tools for evaluating the benefits and risks of new interventions for the treatment and prevention of diseases, from cardiovascular disease to cancer to AIDS. Based on the authors' collective experiences in this field, Introduction to Statistical Methods for Clinical Trials presents various stati...
Analyzing Ecological Data
Author by : Alain Zuur
Languange Used : en
Release Date : 2007-08-29
Publisher by : Springer
ISBN :
Description : This book provides a practical introduction to analyzing ecological data using real data sets. The first part gives a largely non-mathematical introduction to data exploration, univariate methods (including GAM and mixed modeling techniques), multivariate analysis, time series analysis, and spatial statistics. The second part provides 17 case studies. The case studies include topics ranging from terrestrial ecology to marine biology and can be used as a template for a reader’s own data analysis. Data from all case studies are available from www.highstat.com. Guidance on software is provided in the book....
Clinical And Translational Science
Author by : David Robertson
Languange Used : en
Release Date : 2009-03-02
Publisher by : Academic Press
ISBN :
Description : Clinical or translational science is the field of study devoted to investigating human health and disease, interventions and outcomes for the purposes of developing new treatment approaches, devices, and modalities to improve health. New molecular tools and diagnostic technologies based on clinical and translational research have lead to a better understanding of human disease and the application of new therapeutics for enhanced health. Clinical and Translational Science is designed as the most authoritative and modern resource for the broad range of investigators in various medical specialties taking on the challenge of clinical research. Prepared with an international perspective, this resource begins with experimental design and investigative tools to set the scene for readers. It then moves on to human genetics and pharmacology with a focus on statistics, epidemiology, genomic information, drug discovery and development, and clinical trials. Finally, it turns to legal, social, and ethical issues of clinical research concluding with a discussion of future prospects to provide readers with a comprehensive view of the this developing area of science. Clinical research is one of the fastest growing fields in private practice and academic medicine with practical biological, physiological, cellular, and therapeutic applications Contributions from international leaders provide insight into background and future understanding for clinical and translational science Provides the structure for complete instruction and guidance on the subject from fundamental principles, approaches and infrastructure to human genetics, human pharmacology, research in special populations, the societal context of human research, and the future of human research...
The Statistical Analysis Of Functional Mri Data
Author by : Nicole Lazar
Languange Used : en
Release Date : 2008-06-10
Publisher by : Springer Science & Business Media
ISBN :
Description : The study of brain function is one of the most fascinating pursuits of m- ern science. Functional neuroimaging is an important component of much of the current research in cognitive, clinical, and social psychology. The exci- ment of studying the brain is recognized in both the popular press and the scienti?c community. In the pages of mainstream publications, including The New York Times and Wired, readers can learn about cutting-edge research into topics such as understanding how customers react to products and - vertisements (“If your brain has a ‘buy button,’ what pushes it?”, The New York Times,October19,2004),howviewersrespondtocampaignads(“Using M. R. I. ’s to see politics on the brain,” The New York Times, April 20, 2004; “This is your brain on Hillary: Political neuroscience hits new low,” Wired, November 12,2007),howmen and womenreactto sexualstimulation (“Brain scans arouse researchers,”Wired, April 19, 2004), distinguishing lies from the truth (“Duped,” The New Yorker, July 2, 2007; “Woman convicted of child abuse hopes fMRI can prove her innocence,” Wired, November 5, 2007), and even what separates “cool” people from “nerds” (“If you secretly like Michael Bolton, we’ll know,” Wired, October 2004). Reports on pathologies such as autism, in which neuroimaging plays a large role, are also common (for - stance, a Time magazine cover story from May 6, 2002, entitled “Inside the world of autism”)....
Clinical Prediction Models
Author by : Ewout W. Steyerberg
Languange Used : en
Release Date : 2008-12-16
Publisher by : Springer Science & Business Media
ISBN :
Description : Prediction models are important in various fields, including medicine, physics, meteorology, and finance. Prediction models will become more relevant in the medical field with the increase in knowledge on potential predictors of outcome, e.g. from genetics. Also, the number of applications will increase, e.g. with targeted early detection of disease, and individualized approaches to diagnostic testing and treatment. The current era of evidence-based medicine asks for an individualized approach to medical decision-making. Evidence-based medicine has a central place for meta-analysis to summarize results from randomized controlled trials; similarly prediction models may summarize the effects of predictors to provide individu- ized predictions of a diagnostic or prognostic outcome. Why Read This Book? My motivation for working on this book stems primarily from the fact that the development and applications of prediction models are often suboptimal in medical publications. With this book I hope to contribute to better understanding of relevant issues and give practical advice on better modelling strategies than are nowadays widely used. Issues include: (a) Better predictive modelling is sometimes easily possible; e.g. a large data set with high quality data is available, but all continuous predictors are dich- omized, which is known to have several disadvantages....
Fundamentals Of Clinical Research
Author by : Antonella Bacchieri
Languange Used : en
Release Date : 2007-04-29
Publisher by : Springer Science & Business Media
ISBN :
Description : Here is a new book on methods and issues in clinical research. Its objectives can be summarized in three points. 1. Integrate medical and statistical components of clinical research. 2. Do justice to the operational and practical requirements of clinical research. 3. Give space to the ethical implications of methodological issues in clinical research. The book ends with a brief description of the drug development process and the phases of clinical development....