29 citations · 72 across the 9 of their papers we have counts for
10 papers
Functional Analysis of Variance for Association Studies
Olga A. Vsevolozhskaya, Dmitri V. Zaykin, Mark C. Greenwood +2
While progress has been made in identifying common genetic variants associated with human diseases, for most of common complex diseases, the identified genetic variants only accoun…
A new measure for the analysis of epidemiological associations: Cannabis use disorder examples
Olga A. Vsevolozhskaya, Karl C. Alcover, James C. Anthony +1
Analyses of population-based surveys are instrumental to research on prevention and treatment of mental and substance use disorders. Population-based data provides descriptive char…
DOT: Gene-set analysis by combining decorrelated association statistics
Olga A Vsevolozhskaya, Min Shi, Fengjiao Hu +1
Historically, the majority of statistical association methods have been designed assuming availability of SNP-level information. However, modern genetic and sequencing data present…
Put the odds on your side: a new measure for epidemiological associations
Olga A Vsevolozhskaya, Dmitri V Zaykin
The odds ratio (OR) is a measure of effect size commonly used in observational research. OR reflects statistical association between a binary outcome, such as the presence of a hea…
Maximum value of the standardized log of odds ratio and celestial mechanics
Olga A. Vsevolozhskaya, Gabriel Ruiz, Dmitri V. Zaykin
The odds ratio (OR) is a widely used measure of the effect size in observational research. ORs reflect statistical association between a binary outcome, such as the presence of a h…
Detecting weak signals by combining small P-values in genetic association studies
Olga A. Vsevolozhskaya, Fengjiao Hu, Dmitri V. Zaykin
We approach the problem of combining top-ranking association statistics or P-value from a new perspective which leads to a remarkably simple and powerful method. Statistical method…
Assessment of P-value variability in the current replicability crisis
Olga A. Vsevolozhskaya, Gabriel Ruiz, Dmitri V. Zaykin
Increased availability of data and accessibility of computational tools in recent years have created unprecedented opportunities for scientific research driven by statistical analy…
The more you test, the more you find: Smallest P-values become increasingly enriched with real findings as more tests are conducted
Olga A. Vsevolozhskaya, Chia-Ling Kuo, Gabriel Ruiz +2
Increasing accessibility of data to researchers makes it possible to conduct massive amounts of statistical testing. Rather than follow a carefully crafted set of scientific hypoth…
A Weighted U Statistic for Genetic Association Analyses of Sequencing Data
Changshuai Wei, Ming Li, Zihuai He +3
With advancements in next generation sequencing technology, a massive amount of sequencing data are generated, offering a great opportunity to comprehensively investigate the role…
Pairwise comparison of treatment levels in functional analysis of variance with application to erythrocyte hemolysis
Olga Vsevolozhskaya, Mark Greenwood, Dmitri Holodov
Motivated by a practical need for the comparison of hemolysis curves at various treatment levels, we propose a novel method for pairwise comparison of mean functional responses. Th…