Olga Vsevolozhskaya, Ph.D.

Affiliations: 
2013 Mathematical Sciences Montana State University, Bozeman, MT 
Area:
Statistics
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"Olga Vsevolozhskaya"

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Mark C. Greenwood grad student 2013 Montana State
 (Follow-up testing in functional analysis of variance.)
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Publications

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Vsevolozhskaya OA, Shi M, Hu F, et al. (2020) DOT: Gene-set analysis by combining decorrelated association statistics. Plos Computational Biology. 16: e1007819
Vsevolozhskaya OA, Zaykin DV. (2020) Quantifying posterior effect size distribution of susceptibility loci by common summary statistics. Genetic Epidemiology
Vsevolozhskaya OA, Hu F, Zaykin DV. (2019) Detecting Weak Signals by Combining Small P-Values in Genetic Association Studies. Frontiers in Genetics. 10: 1051
Vsevolozhskaya OA, Kuo CL, Ruiz G, et al. (2017) The more you test, the more you find: The smallest P-values become increasingly enriched with real findings as more tests are conducted. Genetic Epidemiology
Trott S, Vsevolozhskaya O, Alhajeri A, et al. (2017) E-067 Institutional trends in mechanical thrombectomy: lessons learned Journal of Neurointerventional Surgery. 9
Fardo DW, Vsevolozhskaya O, Keren I, et al. (2017) [P2-109]: CEREBROSPINAL FLUID BIOMARKER SIGNATURE IN ALZHEIMER's DISEASE GENETIC ASSOCIATION LANDSCAPE BY FUNCTIONAL LINEAR MODELS Alzheimer's & Dementia. 13: P648-P649
Vsevolozhskaya OA, Greenwood MC, Powell SL, et al. (2015) Resampling-based multiple comparison procedure with application to point-wise testing with functional data. Environmental and Ecological Statistics. 22: 45-59
Kuo CL, Vsevolozhskaya OA, Zaykin DV. (2015) Assessing the Probability that a Finding Is Genuine for Large-Scale Genetic Association Studies. Plos One. 10: e0124107
Vsevolozhskaya OA, Greenwood MC, Powell SL, et al. (2015) Resampling-based multiple comparison procedure with application to point-wise testing with functional data Environmental and Ecological Statistics. 22: 45-59
Vsevolozhskaya OA, Zaykin DV, Greenwood MC, et al. (2014) Functional analysis of variance for association studies. Plos One. 9: e105074
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