Clinical Prediction Models: A Practical Approach To Development, Validation, And Updating Hardcover English by Ewout W. Steyerberg - 30-Jan-09

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Product Overview

Publisher	Springer-Verlag New York Inc.
ISBN 10	038777243X
Book Format	Hardcover
Book Subtitle	A Practical Approach To Development, Validation, And Updating
Editorial Review	This book covers an important topic, because these prediction models are essential for individualizing diagnostic and treatment decision making. The topic is of increased importance as evidence-based medicine is increasingly implemented and as scientific and technological advances reveal new potential predictors of outcome. This book presents an approach for developing, validating, and updating prediction models.... [I]t provides ways to optimally utilize regression techniques to predict an outcome.... This book is written in a clear and accessible style.... [A]valuable resource for anyone interested in developing or applying a prediction model. (Todd A. Alonzo, American Journal of Epidemiology, 2009; Vol. 170, No. 4)
Number of Pages	500

ISBN 13	9780387772431
Author	Ewout W. Steyerberg
Language	English
Book 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.
Publication Date	30-Jan-09

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Clinical Prediction Models: A Practical Approach To Development, Validation, And Updating Hardcover English by Ewout W. Steyerberg - 30-Jan-09

1112.00

 1112