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Clinical Prediction Models
- Publication Year:
- 2019
- Edition:
- 2nd Ed.
- Author:
- Ewout W. Steyerberg
- Publisher:
- Springer Nature
- ISBN:
- 978-3-03-016398-3
- Doody's Star Rating®:
- Score:
- 92
- Doody Core Title Score:
-
- ()
-
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Description
The second edition of this volume 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 a sensible strategy is needed for model development, validation, and updating, such that prediction models can better support medical practice.
There is an increasing need for personalized evidence-based medicine that uses an individualized approach to medical decision-making. In this Big Data era, there is expanded access to large volumes of routinely collected data and an increased number of applications for prediction models, such as targeted early detection of disease and individualized approaches to diagnostic testing and treatment. Clinical Prediction Models presents a practical checklist that needs to be considered for development of a valid prediction model. Steps 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
Many advances have been made in statistical approaches towards outcome prediction, but a sensible strategy is needed for model development, validation, and updating, such that prediction models can better support medical practice.
There is an increasing need for personalized evidence-based medicine that uses an individualized approach to medical decision-making. In this Big Data era, there is expanded access to large volumes of routinely collected data and an increased number of applications for prediction models, such as targeted early detection of disease and individualized approaches to diagnostic testing and treatment. Clinical Prediction Models presents a practical checklist that needs to be considered for development of a valid prediction model. Steps 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
Details
- Platform:
- OvidSP
- Publisher:
- Springer Nature
- Product Type:
- Book
- Author:
- Ewout W. Steyerberg
- ISBN:
- 978-3-03-016398-3
- Specialty:
-
- Medical Informatics & Library Science
- Medical Research
- History of Medicine/Science
- Language:
- English
- Edition:
- 2nd Ed.
- Pages:
- 558
- Publication Year:
- 2019
- Doody's Star Rating®:
- Score:
- 92
- Doody Core Title Score:
-
- ()