Describes a novel approach to health epidemiology
Presents applications to longitudinal analyses of health conditions and behaviors
Presents applications of nonlinear approaches to data analysis
Presents applications of physics and mathematics to health problems

Describes a novel approach to health epidemiology Presents applications to longitudinal analyses of health conditions and behaviors Presents applications of nonlinear approaches to data analysis Presents applications of physics and mathematics to health problems Includes supplementary material: sn.pub/extras

Autorentext

David Hollar, PhD Education, MS Molecular Biology, Postdoc Community Health Disability and Employment, Associate Professor of Health Administration at Pfeiffer University, North Carolina (Current) and of Children with Genetic/Metabolic Conditions at the University of Tennessee (Past).

Klappentext

Describes a novel approach to health epidemiology Presents applications to longitudinal analyses of health conditions and behaviors Presents applications of nonlinear approaches to data analysis Presents applications of physics and mathematics to health problems

Zusammenfassung
Describes a novel approach to health epidemiology
Presents applications to longitudinal analyses of health conditions and behaviors
Presents applications of nonlinear approaches to data analysis
Presents applications of physics and mathematics to health problems

Inhalt
Longitudinal Data in Health Care: Opportunities and Necessity.-The Problem of Recidivism in Health Care Intervention Studies.- Current Epidemiological Methods.- Longitudinal Data Analysis Methods.- Linearity Versus Nonlinearity in Variable Associations and Time.- Stability and Reversibility/Irreversibility of Health Conditions.- Chaos Theory and Sensitive Dependence on Initial Conditions.- Poincare Return Maps.- Health Conditions and Behaviors as Topological Surfaces.- Applying Jacobian Matrices to Health Trajectories.- The Lyapunov Exponent.- Phase Transitions in Health and Health Behaviors.- Applications in Cardiology and Neuroscience.- Applications in Health Monitoring and Geographic Systems.- Causality and Inference.- Health Care Interventions for Long-Term Positive Results.- Appendix A. Mathematical Background.- Appendix B. Sample Programming Code for Examples.