Now showing items 1-10 of 43
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 ...
Joint influence of small-effect genetic variants on human longevity.
(Aging (Albany NY), 2010-09)
The results of genome-wide association studies of complex traits, such as life span or age at onset of chronic disease, suggest that such traits are typically affected by a large number of small-effect alleles. Individually ...
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 ...
Beta2-adrenergic receptor gene polymorphisms as systemic determinants of healthy aging in an evolutionary context.
(Mech Ageing Dev, 2010-05)
The Gln(27)Glu polymorphism but not the Arg(16)Gly polymorphism of the beta2-adrenergic receptor (ADRB2) gene appears to be associated with a broad range of aging-associated phenotypes, including cancers at different sites, ...
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. ...