Accelerated failure time models provide a useful statistical framework for aging research.
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Growth hormone-releasing hormone disruption extends lifespan and regulates response to caloric restriction in miceUnlocking the potential of survival data for model organisms through a new database and online analysis platform: SurvCurvForaging fidelity as a recipe for a long life: foraging strategy and longevity in male Southern Elephant SealsIn vivo analysis of gene expression in long-lived mice lacking the pregnancy-associated plasma protein A (PappA) genePersonality facets and all-cause mortality among Medicare patients aged 66 to 102 years: a follow-on study of Weiss and Costa (2005).Immune responses accelerate ageing: proof-of-principle in an insect modelFrom concepts, theory, and evidence of heterogeneity of treatment effects to methodological approaches: a primerAssociation of circulating C-reactive protein and interleukin-6 with longevity into the 80s and 90s: The Rancho Bernardo Study.Dietary restriction in rats and mice: a meta-analysis and review of the evidence for genotype-dependent effects on lifespanFrailty phenotypes in the elderly based on cluster analysis: a longitudinal study of two Danish cohorts. Evidence for a genetic influence on frailty.Metallothionein and the biology of aging.A Comparison between Accelerated Failure-time and Cox Proportional Hazard Models in Analyzing the Survival of Gastric Cancer PatientsUCP3 polymorphisms, hand grip performance and survival at old age: association analysis in two Danish middle aged and elderly cohortsThe temporal scaling of Caenorhabditis elegans ageing.Analysis of Survival Data: Challenges and Algorithm-Based Model Selection.Estimation of indirect effect when the mediator is a censored variable.Meta-Analysis of 29 Experiments Evaluating the Effects of Rapamycin on Life Span in the Laboratory Mouse.Alkaline Water and Longevity: A Murine Study.Midlife adiposity predicts earlier onset of Alzheimer's dementia, neuropathology and presymptomatic cerebral amyloid accumulation.Complete hazard ranking to analyze right-censored data: An ALS survival study.Considerations for analysis of time-to-event outcomes measured with error: Bias and correction with SIMEX.Multiple chronic condition profiles and survival among oldest-old male patients with hip fracture.Early-life inflammation, immune response and ageing.Survival and weak chaos.Big Data Toolsets to Pharmacometrics: Application of Machine Learning for Time-to-Event Analysis.Extraversion predicts longer survival in gorillas: an 18-year longitudinal study.The determinants of tendering periods for PPP procurement in the UK: an empirical analysisThe Systems Biology of Single-Cell Aging
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Accelerated failure time models provide a useful statistical framework for aging research.
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
@tr
scientific article published on 25 October 2008
@en
vedecký článok
@sk
vetenskaplig artikel
@sv
videnskabelig artikel
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vědecký článek
@cs
name
Accelerated failure time model ...... framework for aging research.
@en
Accelerated failure time model ...... framework for aging research.
@nl
type
label
Accelerated failure time model ...... framework for aging research.
@en
Accelerated failure time model ...... framework for aging research.
@nl
prefLabel
Accelerated failure time model ...... framework for aging research.
@en
Accelerated failure time model ...... framework for aging research.
@nl
P2860
P1476
Accelerated failure time model ...... framework for aging research.
@en
P2093
William R Swindell
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P304
P356
10.1016/J.EXGER.2008.10.005
P577
2008-10-25T00:00:00Z