Clinical prediction models
Subtitle: a practical approach to development, validation, and updating
By: Ewout W. Steyerberg.
Series: Statistics for biology and health
Publisher: Springer
Published: 2009
Place of publication: New York, NY
Language: eng
Number of pages: 497
ISBN-13: 9780387772431; 9780387772448
Subjects: Medical statistics; Medicine -- Research -- Statistical methods; Evidence-based medicine -- Statistical methods; Clinical trials -- Statistical methods; Regression analysis; Models, Statistical; Prognosis; Regression Analysis; Statistiques médicales; Médecine -- Recherche -- Statistiques; Médecine fondée sur la preuve -- statistiques et données numériques; Études cliniques -- Statistiques; Analyse de régression
Description: This book aims to provide insight and practical illustrations on how modern statistical concepts and regression methods can be applied in medical prediction problems, including diagnostic and prognostic outcomes. Many advances have been made in statistical approaches towards outcome prediction, but these innovations are insufficiently applied in medical research. Old-fashioned, data hungry methods are often used in data sets of limited size, validation of predictions is not done or only in a simplistic way, and updating of already available models is not considered. A sensible strategy is needed for model development, validation, and updating, such that prediction models can better support medical practice. The text is primarily intended for epidemiologists and applied biostatisticians. It can be used as a textbook for a graduate course on predictive modeling in diagnosis and prognosis. It is beneficial if readers are familiar with common statistical models in medicine: linea.
Notes: Includes bibliographical references (p. 463-485) and index.