{"id":6747,"date":"2021-01-26T17:28:09","date_gmt":"2021-01-26T22:28:09","guid":{"rendered":"https:\/\/med.virginia.edu\/phs\/?p=6747"},"modified":"2024-01-30T12:47:44","modified_gmt":"2024-01-30T17:47:44","slug":"chernyavskiy-pavel-ph-d","status":"publish","type":"post","link":"https:\/\/med.virginia.edu\/phs\/2021\/01\/26\/chernyavskiy-pavel-ph-d\/","title":{"rendered":"Chernyavskiy, Pavel, Ph.D."},"content":{"rendered":"<div class=\"entry-content\">\n<p><img loading=\"lazy\" decoding=\"async\" class=\"size-medium wp-image-6751 alignright\" src=\"https:\/\/med.virginia.edu\/phs\/wp-content\/uploads\/sites\/188\/2021\/01\/chernyavskiy_portrait-300x300.jpg\" alt=\"Pavel Chernyavskiy, Ph.D.\" width=\"300\" height=\"300\" srcset=\"https:\/\/med.virginia.edu\/phs\/wp-content\/uploads\/sites\/188\/2021\/01\/chernyavskiy_portrait-300x300.jpg 300w, https:\/\/med.virginia.edu\/phs\/wp-content\/uploads\/sites\/188\/2021\/01\/chernyavskiy_portrait-150x150.jpg 150w, https:\/\/med.virginia.edu\/phs\/wp-content\/uploads\/sites\/188\/2021\/01\/chernyavskiy_portrait-200x200.jpg 200w, https:\/\/med.virginia.edu\/phs\/wp-content\/uploads\/sites\/188\/2021\/01\/chernyavskiy_portrait-100x100.jpg 100w, https:\/\/med.virginia.edu\/phs\/wp-content\/uploads\/sites\/188\/2021\/01\/chernyavskiy_portrait-70x70.jpg 70w, https:\/\/med.virginia.edu\/phs\/wp-content\/uploads\/sites\/188\/2021\/01\/chernyavskiy_portrait.jpg 512w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/>Dr. Pavel Chernyavskiy joined the University of Virginia as an Assistant Professor in January 2021. His methodological work is motivated by the analysis of correlated data, broadly construed. Correlated data arise from taking multiple observations on the same subject or cluster of subjects, taking observations near one another in space, in time, or jointly in space and time. His areas of collaborative research have spanned public health, education, psychology, and ecology, to name a few.<\/p>\n<\/div>\n<p>Prior to UVA, Dr. Chernyavskiy was an Assistant Professor of Statistics at the University of Wyoming (2018-2020) and a Postdoctoral Fellow at the National Cancer Institute &#8211; Division of Cancer Epidemiology and Genetics (2015-2018).<\/p>\n<div class=\"entry-content\">\n<p>Assistant Professor<br \/>\nDepartment of Public Health Sciences, Division of Biostatistics<br \/>\nPh.D., Statistics, University of Nebraska-Lincoln, 2015<\/p>\n<p>Public Health Sciences<br \/>\nP.O. Box 800717<br \/>\nCharlottesville, VA 22908-0717<\/p>\n<p>Tel: (434)923-4745<br \/>\nEmail: pchern@virginia.edu<br \/>\n3rd floor of the Old Medical School Room 3883<\/p>\n<p><strong>Expertise:<\/strong><\/p>\n<p>spatial statistics, hierarchical models, Bayesian statistics, statistics education<\/p>\n<p><strong>Research Interests:<\/strong><\/p>\n<p>health disparities, population health, non-stationary spatial correlation, intervention efficacy<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Selected Work<\/strong><\/p>\n<p>* indicates mentee co-author<\/p>\n<p><strong>Methods<\/strong><\/p>\n<ul>\n<li><span class=\"author\">Narr, C. F.*<\/span>,\u00a0<span class=\"author\"><strong>Chernyavskiy, P.<\/strong><\/span>, and\u00a0<span class=\"author\">Collins, S. M.<\/span>. (<span class=\"pubYear\">2022)<\/span>.\u00a0<span class=\"articleTitle\">Partitioning macroscale and microscale ecological processes using covariate-driven non-stationary spatial models<\/span>.\u00a0<i>Ecological Applications<\/i>\u00a0<span class=\"vol\">32<\/span>(<span class=\"citedIssue\">1<\/span>):e02485.\u00a0<a class=\"accessionId\" title=\"Link to external resource: 10.1002\/eap.2485\" href=\"https:\/\/doi.org\/10.1002\/eap.2485\" target=\"_blank\" rel=\"noopener\">10.1002\/eap.2485<\/a><\/li>\n<li>Froelicher, J. H.*, Forjaz, G., Rosenberg, P. S., and <strong>Chernyavskiy, P.<\/strong> (2021). Geographic disparities of breast cancer incidence in Portugal at the district level: A spatial age-period-cohort analysis, 1998-2011. <i>Cancer Epidemiology<\/i>,\u00a0<i>74<\/i>.\u00a0<a href=\"https:\/\/doi.org\/10.1016\/j.canep.2021.102009\">https:\/\/doi.org\/10.1016\/j.canep.2021.102009<\/a><\/li>\n<li><strong>Chernyavskiy<\/strong>, <strong>P.<\/strong>, Little, M. P., &amp; Rosenberg, P. S. (2020). Spatially varying age\u2013period\u2013cohort analysis with application to US mortality, 2002\u20132016, <em>Biostatistics<\/em>, Volume 21, Issue 4, Pages 845\u2013859, <a href=\"https:\/\/doi.org\/10.1093\/biostatistics\/kxz009\">https:\/\/doi.org\/10.1093\/biostatistics\/kxz009<\/a><\/li>\n<li><strong>Chernyavskiy, P.<\/strong>, Little, M. P., &amp; Rosenberg, P. S. (2019). A unified approach for assessing heterogeneity in age\u2013period\u2013cohort model parameters using random effects.\u00a0<i>Statistical Methods in Medical Research<\/i>,\u00a0<i>28<\/i>(1), 20\u201334.\u00a0<a href=\"https:\/\/doi.org\/10.1177\/0962280217713033\">https:\/\/doi.org\/10.1177\/0962280217713033<\/a><\/li>\n<li><strong>Chernyavskiy, P.<\/strong>, Kennerley, V. M.*, Jemal, A., Little, M. P., &amp; Rosenberg, P. S. (2019). Heterogeneity of colon and rectum cancer incidence across 612 SEER counties, 2000\u20132014. <i>International Journal of Cancer<\/i>,\u00a0<i>144<\/i>(8), 1786-1795. <a href=\"https:\/\/onlinelibrary.wiley.com\/doi\/full\/10.1002\/ijc.31776\">https:\/\/onlinelibrary.wiley.com\/doi\/full\/10.1002\/ijc.31776<\/a><\/li>\n<li><strong>Chernyavskiy, P.<\/strong>, Little, M. P., &amp; Rosenberg, P. S. (2018). Correlated Poisson models for age\u2010period\u2010cohort analysis. <i>Statistics in medicine<\/i>, <i>37<\/i>(3), 405-424. <a href=\"https:\/\/doi.org\/10.1002\/sim.7519\">https:\/\/doi.org\/10.1002\/sim.7519<\/a><\/li>\n<\/ul>\n<p><strong>Collaborative<\/strong><\/p>\n<ul>\n<li>Davis Lynn, B. C., <strong>Chernyavskiy, P.<\/strong>, Gierach, G. L., &amp; Rosenberg, P. S. (2022). Decreasing Incidence of Estrogen Receptor\u2013Negative Breast Cancer in the United States: Trends by Race and Region.\u00a0<i>JNCI: Journal of the National Cancer Institute<\/i>,\u00a0<i>114<\/i>(2), 263-270.\u00a0<a href=\"https:\/\/doi.org\/10.1093\/jnci\/djab186\">https:\/\/doi.org\/10.1093\/jnci\/djab186<\/a>\n<ul>\n<li>Subsequent response to comment by Dr. Krieger:\u00a0<a href=\"https:\/\/doi.org\/10.1093\/jnci\/djac074\">https:\/\/doi.org\/10.1093\/jnci\/djac074<\/a><\/li>\n<\/ul>\n<\/li>\n<li>Stephens KE, <strong>Chernyavskiy P<\/strong>, Bruns DR (2021) Impact of altitude on COVID-19 infection and death in the United States: A modeling and observational study. <em>PLoS ONE<\/em> 16(1): e0245055. <a href=\"https:\/\/doi.org\/10.1371\/journal.pone.0245055\">https:\/\/doi.org\/10.1371\/journal.pone.0245055<\/a>\n<ul>\n<li>Interactive COVID-19 Dashboard, updated daily: <a href=\"https:\/\/pathfinder.arcc.uwyo.edu:3839\/covidvisualmap\/\">link<\/a><\/li>\n<\/ul>\n<\/li>\n<li>Shiels MS, <strong>Chernyavskiy P<\/strong>, Anderson WF, Best AF, Haozous EA, Hartge P, Rosenberg PS, Thomas D, Freedman ND, Berrington de Gonzalez A. Trends in premature mortality in the USA by sex, race, and ethnicity from 1999 to 2014: an analysis of death certificate data. <em>Lancet<\/em>. (2017); 389(10073):1043-1054. <a href=\"https:\/\/dx.doi.org\/10.1016%2FS0140-6736(17)30187-3\">https:\/\/dx.doi.org\/10.1016%2FS0140-6736(17)30187-3<\/a><\/li>\n<\/ul>\n<p><strong>Active projects (Pre-prints)<\/strong><\/p>\n<ul>\n<li>Formanack, A., Doshi, A. B.*, Valdez, R. S., Williams, I., Moorman, R., and <strong>Chernyavskiy, P.<\/strong> (2022). Race, class, and place modify mortality rates for the top 12 causes of death in the United States, 1999-2021. <i>medRxiv<\/i>.\u00a0<a href=\"https:\/\/www.medrxiv.org\/content\/10.1101\/2022.06.14.22276404v1\">https:\/\/www.medrxiv.org\/content\/10.1101\/2022.06.14.22276404v1<\/a><\/li>\n<li>Horton, W. B., Hannah, E. E., Morales, F. L., Chaney, C. R., Krahn, K. N., <strong>Chernyavskiy, P.<\/strong>, and Moorman, R. (2022). Accuracy of a Risk Alert Threshold for ICU Hypoglycemia: Retrospective Analysis of Alert Performance and Association with Clinical Deterioration Events. <i>medRxiv<\/i>.\u00a0<a href=\"https:\/\/www.medrxiv.org\/content\/10.1101\/2022.06.15.22276435v1\">https:\/\/www.medrxiv.org\/content\/10.1101\/2022.06.15.22276435v1<\/a><\/li>\n<li><strong>Chernyavskiy, P.<\/strong>, Richardson, J. W., &amp; Ratcliffe, S. J. (2021). COVID-19 vaccine uptake in United States counties: geospatial vaccination patterns and trajectories towards herd immunity. <i>medRxiv<\/i>.\u00a0<a href=\"https:\/\/www.medrxiv.org\/content\/10.1101\/2021.05.28.21257946v1\">https:\/\/www.medrxiv.org\/content\/10.1101\/2021.05.28.21257946v1<\/a><\/li>\n<\/ul>\n<\/div>\n<p>&nbsp;<\/p>\n<div class=\"entry-content\">\n<p><strong>Links to More Information:<\/strong><\/p>\n<\/div>\n<p>Code and data on GitHub: <a href=\"https:\/\/github.com\/pchernya\">GitHub page<\/a><\/p>\n<p>ResearchGate: <a href=\"https:\/\/www.researchgate.net\/profile\/Pavel_Chernyavskiy\">ResearchGate profile<\/a><\/p>\n<p>Google Scholar: <a href=\"https:\/\/scholar.google.com\/citations?user=TD0onVkAAAAJ&amp;hl=en\">Google Scholar profile<\/a><\/p>\n<p>Applied Bayesian Statistics course on YouTube: <a href=\"https:\/\/www.youtube.com\/channel\/UCZ5DP3bn6t2G5snQf-DUyQQ\">Applied Bayes course<\/a><\/p>\n<p>Introduction to Spatial Statistics course on YouTube: <a href=\"https:\/\/www.youtube.com\/channel\/UCIFsMqBCtcfiP4qRYvsCCmg\">Intro to Spatial Statistics<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Dr. Pavel Chernyavskiy joined the University of Virginia as an Assistant Professor in January 2021. His methodological work is motivated by the analysis of correlated data, broadly construed. Correlated data arise from taking multiple observations on the same subject or cluster of subjects, taking observations near one another in space, in time, or jointly in [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":"","_links_to":"","_links_to_target":""},"categories":[7,22],"tags":[],"class_list":["post-6747","post","type-post","status-publish","format-standard","hentry","category-faculty","category-instructional"],"acf":false,"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Chernyavskiy, Pavel, Ph.D. - Public Health Sciences<\/title>\n<meta name=\"description\" content=\"Dr. Pavel Chernyavskiy joined the University of Virginia as an Assistant Professor in January 2021. 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