The Generalized ANOVA: A Classic Song Sung with Modern Lyrics

Hui Zhang*, Xin Tu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Scopus citations

Abstract

The widely used analysis of variance (ANOVA) suffers from a series of flaws that not only raise questions about conclusions drawn from its use, but also undercut its many potential applications to modern clinical and observational research. In this paper, we propose a generalized ANOVA model to address the limitations of this popular approach so that it can be applied to many immediate as well as potential applications ranging from an age-old technical issue in applying ANOVA to cutting-edge methodological challenges. By integrating the classic theory of U-statistics, we develop distribution-free inference for this new class of models to address missing data for longitudinal clinical trials and cohort studies.

Original languageEnglish (US)
Title of host publicationStatistical Modeling for Biological Systems
Subtitle of host publicationIn Memory of Andrei Yakovlev
PublisherSpringer International Publishing
Pages281-287
Number of pages7
ISBN (Electronic)9783030346751
ISBN (Print)9783030346744
DOIs
StatePublished - Jan 1 2020

Keywords

  • Count response
  • Missing data
  • Overdispersion

ASJC Scopus subject areas

  • General Medicine
  • General Agricultural and Biological Sciences
  • General Biochemistry, Genetics and Molecular Biology
  • General Health Professions

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