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Statistical Learning For Biomedical Data: Practical Guides To Biostatistics And

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Statistical learning is a powerful set of tools that can be used to analyze biomedical data to identify patterns, make predictions, and gain insights into the underlying biological processes. However, statistical learning can be a complex and challenging field, and it can be difficult to know where to start.

Statistical Learning for Biomedical Data (Practical Guides to Biostatistics and Epidemiology)

by James D. Malley

4.6 out of 5

Language	:	English
File size	:	4734 KB
Text-to-Speech	:	Enabled
Enhanced typesetting	:	Enabled
Print length	:	300 pages
Lending	:	Enabled
Screen Reader	:	Supported

This book provides a comprehensive and accessible guide to statistical learning for biomedical data. It covers a wide range of topics, including supervised and unsupervised learning, variable selection, model evaluation, and more. The book is written in a clear and concise style, and it is packed with examples and exercises to help you understand the concepts and apply them to your own data.

What's Inside

This book is divided into three parts.

Part I:

This part provides an overview of statistical learning and its applications to biomedical data. It also covers the basics of probability and statistics.

Part II: Supervised Learning

This part covers supervised learning, which is used to predict a response variable based on a set of input variables. Topics covered include linear regression, logistic regression, decision trees, and random forests.

Part III: Unsupervised Learning

This part covers unsupervised learning, which is used to identify patterns and relationships in data without a response variable. Topics covered include principal component analysis, cluster analysis, and dimensionality reduction.

Who This Book Is For

This book is intended for a wide range of readers, including:

Biostatisticians and data analysts
Researchers in biomedical fields
Students in biostatistics and data science
Anyone who wants to learn more about statistical learning

Benefits of Statistical Learning

Statistical learning can be a powerful tool for biomedical research. It can be used to:

Identify patterns and relationships in data
Make predictions
Gain insights into the underlying biological processes
Develop new diagnostic and therapeutic tools
Improve patient care

Statistical learning is a rapidly growing field with a wide range of applications in biomedical research. This book provides a comprehensive and accessible guide to statistical learning for biomedical data. It is a valuable resource for anyone who wants to learn more about statistical learning and its applications in the biomedical field.

Statistical Learning for Biomedical Data (Practical Guides to Biostatistics and Epidemiology)

by James D. Malley

4.6 out of 5