Modeling nonlinear effects in longitudinal survival data: Implications for the physiological dynamics of biological systems

Frontiers in Bioscience

Volumn 9, Issue , 2004, Pages 481-493

  Kulminski, A ^a   Akushevich, I ^a   Manton, K ^a  

^a DUKE UNIVERSITY   (United States)

Author keywords

Framingham Heart Study; Longitudinal Demographic Studies; Nonlinear Analysis Of Longitudinal Databases; Nonlinear Regression Models; Review

Indexed keywords

ESTROGEN;

ARTICLE; FOLLOW UP; HEALTH STATUS; HUMAN; LONGITUDINAL STUDY; MEDICAL INFORMATION; MENOPAUSE; MODEL; MOLECULAR BIOLOGY; MOLECULAR DYNAMICS; NONHUMAN; PHYSIOLOGY; PLASTICITY; RISK FACTOR; STANDARD; STATISTICAL ANALYSIS; SURVIVAL; AGING; BIOLOGICAL MODEL; FEMALE; HEALTH SURVEY; MALE; NONLINEAR SYSTEM; POPULATION DYNAMICS; REVIEW; SYSTEMS THEORY;

AGING; FEMALE; FOLLOW-UP STUDIES; HEALTH SURVEYS; HUMANS; LONGITUDINAL STUDIES; MALE; MODELS, BIOLOGICAL; NONLINEAR DYNAMICS; POPULATION DYNAMICS; RISK FACTORS; SURVIVAL; SYSTEMS THEORY;

EID: 2542424648     PISSN: 27686701     EISSN: 27686698     Source Type: Journal    
DOI: 10.2741/1221     Document Type: Article

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