Use of mathematical models of survivorship in the study of biomarkers of aging: The role of heterogeneity

Mechanisms of Ageing and Development

Volumn 122, Issue 13, 2001, Pages 1461-1475

  Piantanelli, L ^a   Rossolini, G ^a   Basso, A ^a   Piantanelli, A ^a   Malavolta, M ^a   Zaia, A ^a  

^a INRCA   (Italy)

Author keywords

Aging biomarker; Heterogeneity; Mathematical models; Mortality; Rate of aging; Survivorship

Indexed keywords

BIOLOGICAL MARKER;

CONFERENCE PAPER; GENETIC HETEROGENEITY; HUMAN; HYPOTHESIS; LIFESPAN; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; MEDICAL RESEARCH; MORTALITY; NONHUMAN; POPULATION; PRIORITY JOURNAL; RELIABILITY; SENESCENCE; STANDARD; SURVIVAL RATE; THEORY;

AGING; BIOLOGICAL MARKERS; GENETIC HETEROGENEITY; HUMANS; MODELS, BIOLOGICAL; MORTALITY;

ANIMALIA;

EID: 0035885376     PISSN: 00476374     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0047-6374(01)00271-8     Document Type: Conference Paper

References (50)

1. Are rates of aging determined in utero?
2. Do all systems age together?
3. Biomarkers of aging
4. Redefining human aging
5. Concerning the estimation of biological age
6. Slowing of mortality rates at older ages in large medfly cohorts
7. Influence of aging rate change on mortality curves
8. Rate of aging, rate of dying and the mechanism of mortality
9. Slow mortality rate accelerations during aging in some animals approximate that of humans
10. Nonlinear dynamics, fractals and chaos: Applications to cardiac electrophysiology
11. Non-linear dynamics for clinicians: Chaos theory, fractals, and complexity at the bedside
12. Fractals and the birth of Gothic: Reflections on the biologic basis of creativity
13. On the nature of the function expressive of the law of human mortality, and on the new mode of determining the values of life contingencies
14. Biomarkers of aging: Tissue markers. Future research needs, strategies, directions and priorities
15. Key questions in developing biomarkers of aging
16. Is aging physiological or pathological?
17. Aging and age-related diseases: Normal processes
18. Admission criteria for immunogerontological studies in men: The Senieur protocol
19. Necessity of the assessment of health status in human immunogerontological studies: Evaluation of the senieur protocol
20. Longitudinal studies in the rate of decline of renal function with age
21. Spectral characteristics of heart rate variability before and during postural tilt. Relations to aging and risk of syncope
22. Physiological system markers of aging
23. Strategies for biomarkers research: Experimental and methodological design
24. Biomarkers of age and aging
25. Favorable effects of the antioxidants sodium and magnesium thiazolidine carboxylate on the vitality and life span on Drosophila and mice
26. Mathematical and statistical strategies for biomarkers research of aging
27. Biomarkers of aging: Do we know what to look for?
28. Self-organization and fractal scaling patterns in biological systems
29. Critical analysis of the applicability of the Gompertz-Makeham Law in human population
30. A mathematical model of survival kinetics. I. Theoretical basis
31. A mathematical model of survisorship: From the kinetics of dying to the processes of aging
32. Biomarkers of aging and survival kinetics
33. Modelling survivorship kinetics: A two parameters model
34. Modelling the link between aging rate and mortality rate
35. Human aging: Usual and successful
36. The stochastic theory of mortality
37. Falls, motor dysfunction, and correlative neurohistologic changes in the elderly
38. Strategies and criteria for the development of molecular biomarkers of senescence
39. Biomarkers of aging
40. Physiological indices of aging
41. Growth curves and survival characteristics of the animals used in the biomarkers of aging program
42. The impact of heterogeneity in individuals frailty on the dynamics of mortality
43. Biodemographic trajectories of longevity
44. Clinical implication of recent research in aging
45. A return to time, cells, systems, and aging: V. Further thoughts on gompertzian survival dynamics - The geriatric years
46. Vitality index in survival modeling: How physiological aging influences mortality