Modern Inference Based on Health Related Markers: Biomarkers and Statistical Decision Making

Authored by renowned experts Albert Vexler, Jihnhee Yu, and Jiaojiao Zhou PhD, this comprehensive book provides a cutting-edge compendium of biomarkers-based methodologies for various health-related fields and health-related marker-specific biostatistical techniques.

Efficient Testing Mechanisms and Biostatistical Techniques

The book introduces practical researchers to correct and efficient testing mechanisms, including procedures based on bootstrap and permutation methods. It also delves into the biostatistical aspect, explaining how to correctly state testing problems and providing novel results from current statistical publications.

Data-Driven Techniques and Emerging Topics

Focusing on modern applied statistical developments, the book explores data-driven techniques, including empirical likelihood methods and other simple and efficient methods to derive statistical tools for use in health-related studies. It also covers emerging topics from real health fields, showcasing recent advances and trends in biomarkers and associated decision-making areas.

Comprehensive Coverage of Epidemiological and Biostatistical Fields

Written by leaders in the fields of epidemiology and biostatistics, this book presents up-to-date investigations related to measuring health issues, emerging fields of biomarkers, designing health studies and their implementations, clinical trials, and their practices and applications, as well as different aspects of genetic markers.

Book Details:

• Published by: Academic Press
• Edition: 1st edition
• Release Date: April 5, 2024
• Language: English
• Pages: 422
• ISBN-10: 0128152478
• ISBN-13: 978-0128152478

This book provides a one-stop package for practical investigators, combining modern epidemiological and public health discoveries with cutting-edge biostatistical tools and relevant software codes.