17 citations · 17 across the 2 of their papers we have counts for
6 papers
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…
Robust Tests in Genome-Wide Scans under Incomplete Linkage Disequilibrium
Gang Zheng, Jungnam Joo, Dmitri Zaykin +2
Under complete linkage disequilibrium (LD), robust tests often have greater power than Pearson's chi-square test and trend tests for the analysis of case-control genetic associatio…