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Springer Clinical Prediction Models - 2nd Edition Book

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Description

The second edition of Clinical Prediction Models provides practical illustrations on applying modern statistical concepts and regression methods to medical prediction problems. This volume covers diagnostic and prognostic outcomes, offering a sensible strategy for model development, validation, and updating. As medical practice moves toward personalized evidence-based medicine, this text supports the increasing need for individualized approaches to medical decision-making. It serves as a vital resource for understanding how to build and maintain models that effectively support clinical practice through rigorous statistical methods.

Key Features

This second edition from Springer provides practical illustrations for applying modern statistical concepts to medical prediction problems.

The text covers essential methods for both diagnostic and prognostic outcomes in clinical settings.

Learn sensible strategies for the development, validation, and updating of prediction models to support medical practice.

This volume addresses the growing need for personalized evidence-based medicine and individualized medical decision-making.

Part of the Statistics for Biology and Health series, this book focuses on regression methods and modern statistical approaches.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
01 August 2019
Listed Since
22 February 2019

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