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 language | English (US) |
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Title of host publication | Statistical Modeling for Biological Systems |
Subtitle of host publication | In Memory of Andrei Yakovlev |
Publisher | Springer International Publishing |
Pages | 281-287 |
Number of pages | 7 |
ISBN (Electronic) | 9783030346751 |
ISBN (Print) | 9783030346744 |
DOIs | |
State | Published - 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