Skip to main navigation Skip to search Skip to main content

Modern Inference Based on Health-Related Markers

  • SUNY Buffalo

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

Modern Inference Based on Health Related Markers: Biomarkers and Statistical Decision Making provides a compendium of biomarkers based methodologies for respective health related fields and health related marker-specific biostatistical techniques. The book introduces correct and efficient testing mechanisms, including procedures based on bootstrap and permutation methods with the aim of making these techniques assessable to practical researchers. In the biostatistical aspect, it describes how to correctly state testing problems, but it also includes novel results, which have appeared in current statistical publications. In addition, the book discusses also modern applied statistical developments that consider data-driven techniques, including empirical likelihood methods and other simple and efficient methods to derive statistical tools for use in health related studies.

Original languageEnglish
Title of host publicationModern Inference Based on Health-Related Markers
Subtitle of host publicationBiomarkers and Statistical Decision Making
PublisherElsevier
Pages1-407
Number of pages407
ISBN (Electronic)9780128152478
ISBN (Print)9780128152485
DOIs
StatePublished - Jan 1 2024

Fingerprint

Dive into the research topics of 'Modern Inference Based on Health-Related Markers'. Together they form a unique fingerprint.

Cite this