Ilya Zhbannikov

Biostatistician III

Center for Population Health & Aging

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Selected Publications

stpm: an R package for stochastic process model.

Journal Article BMC bioinformatics · February 2017 BackgroundThe Stochastic Process Model (SPM) represents a general framework for modeling the joint evolution of repeatedly measured variables and time-to-event outcomes observed in longitudinal studies, i.e., SPM relates the stochastic dynamics of ... Full text Open Access Cite

High-Resolution Analyses of Effects of Polygenic Risk Scores on Time-to-Event Outcomes in Longitudinal Studies

Conference GENETIC EPIDEMIOLOGY · November 1, 2016 Link to item Cite

GENE-LEVEL META-ANALYSIS OF CANDIDATE GENES INVOLVED IN ALZHEIMER’S DISEASE AND LONGEVITY

Conference The Gerontologist · November 2016 Full text Cite

ANALYSIS OF INTERACTIONS BETWEEN ALZHEIMER’S DISEASE CANDIDATE GENES AND THEIR IMPACT ON LONGEVITY

Conference The Gerontologist · November 2016 Full text Cite

PHYSIOLOGICAL DYSREGULATION AS PROMISING MEASURE OF ROBUSTNESS AND RESILIENCE IN AGING STUDIES

Conference The Gerontologist · November 2016 Full text Open Access Cite

Multidimensional Stochastic Process Model and its applications to analysis of longitudinal data with genetic information

Journal Article ACM-BCB 2016 - 7th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics · October 2, 2016 Stochastic Process Model has many applications in analysis of longitudinal biodemographic data. In general, such data contain various physiological variables (sometimes known as covariates or physiological indices). Longitudinal data can also contain genet ... Full text Open Access Cite

Resistance to stresses and reliability of biological systems: Insights for genetic studies of human aging, health, and longevity

Conference Proceedings - 2nd International Symposium on Stochastic Models in Reliability Engineering, Life Science, and Operations Management, SMRLO 2016 · March 11, 2016 Connection between stress resistance and longevity in biological organisms is widely discussed and confirmed experimentally. Much less is known about the roles of genetic and non-genetic factors in regulation of such connection. Earlier studies emphasized ... Full text Open Access Cite

Pure and Confounded Effects of Causal SNPs on Longevity: Insights for Proper Interpretation of Research Findings in GWAS of Populations with Different Genetic Structures.

Journal Article Frontiers in genetics · January 2016 This paper shows that the effects of causal SNPs on lifespan, estimated through GWAS, may be confounded and the genetic structure of the study population may be responsible for this effect. Simulation experiments show that levels of linkage disequilibrium ... Full text Open Access Cite

New Approaches to Identification of Longevity-related Traits with Censored Data

Conference GERONTOLOGIST · November 1, 2015 Link to item Cite