Coverart for item
The Resource Clinical prediction models : a practical approach to development, validation, and updating, Ewout W. Steyerberg

Clinical prediction models : a practical approach to development, validation, and updating, Ewout W. Steyerberg

Label
Clinical prediction models : a practical approach to development, validation, and updating
Title
Clinical prediction models
Title remainder
a practical approach to development, validation, and updating
Statement of responsibility
Ewout W. Steyerberg
Creator
Subject
Language
eng
Summary
This book provides 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 done simplistically, and updating of previously developed 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 usefulness; internal validation; and presentation formats. The steps are illustrated with many small case-studies and R code, with data sets made available in the public domain. The book further focuses on generalizability of prediction models, including patterns of invalidity that may be encountered in new settings, approaches to updating of a model, and comparisons of centers after case-mix adjustment by a prediction model. The text is primarily intended for clinical epidemiologists and 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 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. Ewout Steyerberg (1967) is Professor of Medical Decision Making, in particular prognostic modeling, at Erasmus MC-University Medical Center Rotterdam, the Netherlands. His work on prediction models was stimulated by various research grants including a fellowship from the Royal Netherlands Academy of Arts and Sciences. He has published over 250 peer-reviewed articles in collaboration with many clinical researchers, both in methodological and medical journals
Member of
Is part of
Cataloging source
GW5XE
http://library.link/vocab/creatorName
Steyerberg, Ewout W
Dewey number
610.727
Illustrations
illustrations
Index
index present
Language note
English
LC call number
RA409
LC item number
.S749 2009
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
NLM call number
  • 2008 M-781
  • WA 950
NLM item number
S853c 2009
Series statement
Statistics for biology and health
http://library.link/vocab/subjectName
  • Medical statistics
  • Medicine
  • Evidence-based medicine
  • Clinical trials
  • Regression analysis
  • Models, Statistical
  • Prognosis
  • Regression Analysis
  • MEDICAL
  • Regression analysis
  • Medical statistics
  • Medicine
  • Evidence-based medicine
  • Clinical trials
  • Models, Statistical
  • Prognosis
  • Clinical trials
  • Medical statistics
  • Medicine
  • Regression analysis
  • Analyse de régression
  • Médecine fondée sur la preuve
  • Études cliniques
  • Médecine
  • Statistiques médicales
Label
Clinical prediction models : a practical approach to development, validation, and updating, Ewout W. Steyerberg
Instantiates
Publication
Bibliography note
Includes bibliographical references (pages 463-485) and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Introduction -- 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 methods -- Evaluation of performance -- Clinical usefulness -- Validation of prediction models -- Presentation formats -- Patterns of external validity -- Updating for a new setting -- Updating for a 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
Control code
318545396
Dimensions
unknown
Extent
1 online resource (xxviii, 497 pages)
Form of item
online
Isbn
9786611954123
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
  • 9786611954123
  • 10.1007/978-0-387-77244-8
Other physical details
illustrations.
http://library.link/vocab/ext/overdrive/overdriveId
978-0-387-77243-1
Specific material designation
remote
System control number
(OCoLC)318545396
Label
Clinical prediction models : a practical approach to development, validation, and updating, Ewout W. Steyerberg
Publication
Bibliography note
Includes bibliographical references (pages 463-485) and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Introduction -- 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 methods -- Evaluation of performance -- Clinical usefulness -- Validation of prediction models -- Presentation formats -- Patterns of external validity -- Updating for a new setting -- Updating for a 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
Control code
318545396
Dimensions
unknown
Extent
1 online resource (xxviii, 497 pages)
Form of item
online
Isbn
9786611954123
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
  • 9786611954123
  • 10.1007/978-0-387-77244-8
Other physical details
illustrations.
http://library.link/vocab/ext/overdrive/overdriveId
978-0-387-77243-1
Specific material designation
remote
System control number
(OCoLC)318545396

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      38.944491 -92.326012
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