most citedGrade of Membership Analysis: One Possible Approach to Foundations

15 citations · 20 across the 6 of their papers we have counts for

collaborators

6 papers

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…

math.ST2005★ 1 cited

Linear Latent Structure Analysis: from Foundations to Algorithms and Applications

I. Akushevich, M. Kovtun, A. I. Yashin +1

A new statistical technique for constructing linear latent structure (LLS) models from available data, supported by well established theoretical results and an efficient algorithm,…

math.PR2005

Linear Latent Structure Analysis: Mixture Distribution Models with Linear Constraints

Mikhail Kovtun, Igor Akushevich, Kenneth G. Manton +1

A new method for analyzing high-dimensional categorical data, Linear Latent Structure (LLS) analysis, is presented. LLS models belong to the family of latent structure models, whic…

math.PR2005★ 1 cited

A New Efficient Algorithm for Construction of LLS Models

Mikhail Kovtun, Igor Akushevich, Kenneth G. Manton +1

We present a new efficient algortithm for construction of linear latent structure (LLS) models. This algorithm reduces a problem of estimation of model parameters to a sequence of…

math.ST2004★ 15 cited

Grade of Membership Analysis: One Possible Approach to Foundations

Mikhail Kovtun, Igor Akushevich, Kenneth G. Manton +1

Grade of membership (GoM) analysis was introduced in 1974 as a means of analyzing multivariate categorical data. Since then, it has been successfully applied to many problems. The…