2 citations · 3 across the 2 of their papers we have counts for
3 papers
q-bio.PE2016
Multidimensional Stochastic Process Model and its Applications to Analysis of Longitudinal Data with Genetic Information
Ilya Zhbannikov, Konstantin Arbeev, Anatoliy Yashin
Stochastic Process Model has many applications in analysis of longitudinal biodemographic data. Such data contain various physiological variables (sometimes known as covariates). I…
q-bio.PE2005★ 1 cited
Frailty Index as a Major Indicator of Aging Processes and Mortality in Elderly: Results From Analyses of the National Long Term Care Survey Data
A. Kulminski, A. Yashin, I. Akushevich +4
To better understand mortality change with age capturing the variability in individuals' rates of aging, we performed comprehensive analysis of statistical properties of a cumulati…
q-bio.PE2005★ 2 cited
Age-Associated Disorders As A Proxy Measure Of Biological Age: Findings From the NLTCS Data
A. Kulminski, A. Yashin, S. Ukraintseva +4
Background: The relative contribution of different aging-associated processes to the age phenotype may differ among individuals, creating variability in aging manifestations among…