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Written by renowned experts Albert Vexler, Jihnhee Yu, and Jiaojiao Zhou PhD, “Modern Inference Based on Health Related Markers: Biomarkers and Statistical Decision Making” is a comprehensive guide to biomarker-based methodologies and statistical techniques for health-related fields.
This book provides practical researchers with correct and efficient testing mechanisms, including bootstrap and permutation methods, to assess biomarkers and make informed decisions. It covers the essential biostatistical aspects of stating testing problems and includes novel results from current statistical publications.
In addition, the book discusses modern applied statistical developments that incorporate data-driven techniques, such as empirical likelihood methods, to derive statistical tools for health-related studies.
“Modern Inference Based on Health Related Markers” combines cutting-edge epidemiological and public health discoveries with innovative biostatistical tools, including relevant software codes. This comprehensive resource covers emerging topics from real health fields, showcasing recent advances and trends in biomarkers and decision-making areas.
As a result, this book is an essential guide for researchers, epidemiologists, and biostatisticians working in health-related fields, providing them with up-to-date investigations on measuring health issues, emerging fields of biomarkers, designing health studies, clinical trials, and their applications.
Stay ahead in the field of health research with “Modern Inference Based on Health Related Markers: Biomarkers and Statistical Decision Making”. This book is an invaluable resource for anyone looking to make a meaningful impact in health-related studies.
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