Now showing items 1-10 of 33
The quadratic hazard model for analyzing longitudinal data on aging, health, and the life span.
(Phys Life Rev, 2012-06)
A better understanding of processes and mechanisms linking human aging with changes in health status and survival requires methods capable of analyzing new data that take into account knowledge about these processes accumulated ...
Recovery and survival from aging-associated diseases.
(Exp Gerontol, 2013-08)
OBJECTIVES: Considering disease incidence to be a main contributor to healthy lifespan of the US elderly population may lead to erroneous conclusions when recovery/long-term remission factors are underestimated. Using two ...
Evaluation of genotype-specific survival using joint analysis of genetic and non-genetic subsamples of longitudinal data.
Small sample size of genetic data is often a limiting factor for desirable accuracy of estimated genetic effects on age-specific risks and survival. Longitudinal non-genetic data containing information on survival or disease ...
How the quality of GWAS of human lifespan and health span can be improved.
(Front Genet, 2013)
Trade-offs between cancer and other diseases: do they exist and influence longevity?
(Rejuvenation Res, 2010-08)
Relationships between aging, disease risks, and longevity are not yet well understood. For example, joint increases in cancer risk and total survival observed in many human populations and some experimental aging studies ...
Joint analysis of health histories, physiological state, and survival
(Mathematical Population Studies, 2011-12-01)
Data on individual health histories, age trajectories of physiological or biological variables, and mortality allow for the study of the joint evolution of health and physiological states and their effects on mortality. ...
Modeling deterministic effects in hematopoietic system caused by chronic exposure to ionizing radiation in large human cohorts.
(Health Phys, 2010-09)
A new model of the hematopoietic system for humans chronically exposed to ionizing radiation allows for quantitative description of the initial hematopoiesis inhibition and subsequent increase in the risks of late stochastic ...
How Genes Modulate Patterns of Aging-Related Changes on the Way to 100: Biodemographic Models and Methods in Genetic Analyses of Longitudinal Data.
(N Am Actuar J, 2016)
BACKGROUND AND OBJECTIVE: To clarify mechanisms of genetic regulation of human aging and longevity traits, a number of genome-wide association studies (GWAS) of these traits have been performed. However, the results of these ...
stpm: an R package for stochastic process model.
(BMC Bioinformatics, 2017-02-23)
BACKGROUND: The 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 ...