Description
Multivariable Analysis: A Practical Guide for Clinicians and Public Health Researchers offers a comprehensive introduction to statistical methods essential for analyzing complex healthcare data. Written by Mitchell H. Katz and published by Cambridge University Press, this resource bridges the gap between theoretical statistics and practical clinical application.
The guide covers fundamental concepts and techniques including multiple regression, logistic regression, survival analysis, and other multivariate statistical methods. Rather than focusing heavily on mathematical theory, the book emphasizes practical interpretation and real-world examples relevant to clinical practice and public health research. Each chapter includes worked examples and case studies that demonstrate how to apply these methods to actual research problems.
This book serves as an invaluable reference for healthcare professionals seeking to understand, conduct, and interpret multivariable analyses in their research. It is suitable for both beginners and those with some statistical background who want to deepen their understanding of advanced analytical techniques in a clinical context.
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