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Clinical Prediction Models : A Practical Approach to Development, Validation, and Updating - Ewout W. Steyerberg
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2008, ISBN: 038777243X

[EAN: 9780387772431], Neubuch, [SC: 0.0], [PU: Springer New York], BIOSTATISTIK; STATISTIK / ANÄSTHESIE-INFORMATIONS-MANAGEMENT-SYSTEM; DATA-ANALYSIS; EVIDENCE-BASEDMEDICINE; RADIOLOGIEIN… Mehr…

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Clinical Prediction Models. A Practical Approach to Development, Validation, and Updating. - gebunden oder broschiert

2009, ISBN: 038777243X

[EAN: 9780387772431], [SC: 3.0], [PU: New York, Springer.], XXVIII, 497 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexempl… Mehr…

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Clinical Prediction Models - Taschenbuch

2009

ISBN: 9780387772431

*Clinical Prediction Models* - A Practical Approach to Development Validation and Updating. Auflage 2009 / gebundene Ausgabe für 235.49 € / Aus dem Bereich: Bücher, Wissenschaft, Medizin … Mehr…

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ISBN: 9780387772431

Find Clinical Prediction Models by Ewout W. Steyerberg in Hardcover and other formats in Medical > Biostatistics. Medical 9780387772431, Springer

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Clinical Prediction Models : A Practical Approach To Development Valid
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ISBN: 9780387772431

This Book Aims To Provide Insight And Practical Illustrations On How Modern Statistical Concepts And Libros>Medicina>Materias Preclínicas>Medicina general, Gardners

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Details zum Buch
Clinical Prediction Models

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. Clinical Prediction Models presents a practical checklist with seven steps that need to be considered for development of a valid prediction model. These include preliminary considerations such as dealing with missing values; coding of predictors; selection of main effects and interactions for a multivariable model; estimation of model parameters with shrinkage methods and incorporation of external data; evaluation of performance and clinical usefulness; internal validation; and presentation format. The steps are illustrated with many small case studies and R computer code, with data sets made available in the public domain [http://www.clinicalpredictionmodels.org/]. The book further focuses on generalizability of prediction models, including patterns of invalidity that may be encountered in new settings, approaches to modifying and extending a model, and comparisons of centers after case-mix adjustment by a prediction model. 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: linear regression, logistic regression, and Cox regression. The book is practical in nature. But it also provides a philosophical perspective on data analysis in medicine that goes beyond predictive modeling. In this era of evidence-based medicine, randomized clinical trials are the basis for assessment of treatment efficacy. Prediction models are key to individualizing diagnostic and treatment decision-making.

Detailangaben zum Buch - Clinical Prediction Models


EAN (ISBN-13): 9780387772431
ISBN (ISBN-10): 038777243X
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2008
Herausgeber: Springer New York
497 Seiten
Gewicht: 0,839 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 2008-08-29T18:08:49+02:00 (Berlin)
Detailseite zuletzt geändert am 2023-09-09T11:20:04+02:00 (Berlin)
ISBN/EAN: 9780387772431

ISBN - alternative Schreibweisen:
0-387-77243-X, 978-0-387-77243-1
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: steyer, steyerberg ewout
Titel des Buches: practical statistics, statistics biology, development prediction validation practical approach clinical updating models, practical vim, steyerberg


Daten vom Verlag:

Autor/in: Ewout W. Steyerberg
Titel: Statistics for Biology and Health; Clinical Prediction Models - A Practical Approach to Development, Validation, and Updating
Verlag: Springer; Springer US
500 Seiten
Erscheinungsjahr: 2008-10-20
New York; NY; US
Sprache: Englisch
246,09 € (DE)
252,99 € (AT)
271,50 CHF (CH)
Available
XXVIII, 500 p.

BB; Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Anästhesie-Informations-Management-System; Data-analysis; Evidence-Based Medicine; Prediction; Radiologieinformationssystem; Regression modeling; Validation; coding; data analysis; diagnosis; linear regression; Biostatistics; Internal Medicine; Klinische und Innere Medizin; BC

Applications of prediction models.- Study design for prediction models.- Statistical Models for Prediction.- Overfitting and optimism in prediction models.- Choosing between alternative statistical models.- Dealing with missing values.- Case study on dealing with missing values.- Coding of Categorical and Continuous Predictors.- Restrictions on candidate predictors.- Selection of main effects.- Assumptions in regression models:Additivity and linearity.- Modern estimation methods.- Estimation with external information.- Evaluation of performance.- Clinical Usefulness.- Validation of Prediction Models.- Presentation formats.- Patterns of external validity.- Updating for a new setting.- Updating for multiple settings.- Prediction of a binary outcome:30-day mortality after acute myocardial infarction.- Case study on survival analysis:prediction of secondary cardiovascular events.- Lessons from case studies.
A sensible strategy to all three aspects (development, validation, updating) is relevant to provide up-to-date prognostic models that can reliably support medical practice Includes supplementary material: sn.pub/extras Request lecturer material: sn.pub/lecturer-material

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