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Trajectory Analysis in Health Care
David W. Hollar
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Springer International Publishing 
Naturwissenschaften, Medizin, Informatik, Technik / Allgemeines
Beschreibung
This innovative volume introduces Trajectory Analysis, a new systems-based approach to measuring nonlinear dynamics in continuous change, to public health and epidemiology. It synthesizes influential strands of statistical and probability science (including chaos theory and catastrophe theory) to complement existing methods and models used in the health fields. The computational framework featured here pinpoints complex cause-and-effect processes in behavioral change as individuals and populations adjust to health interventions, with examples from neuroscience and cardiology. But this is no mere academic exercise, as the author illustrates how these methods can be harnessed toward finding real-world answers to longstanding public health problems, starting with treatment recidivism.
Included in the coverage:
· The universality of physical principles in the analysis of health and disease
· The problem of recidivism in healthcare intervention studies
· Stability and reversibility/irreversibility of health conditions
· Chaos theory and sensitive dependence on initial conditions
· Applications in health monitoring and geographic systems
· Simulations, applications, and the challenge for public health
A stimulating new take on statistics with powerful implications for future study, practice, and policy, Trajectory Analysis in Health Care should interest public health epidemiologists, researchers, clinicians, and policymakers.
Kundenbewertungen
research methodology, health trajectories, public health research, healthcare decision making, health behaviors, public health policy, health outcomes, longitudinal health data analysis, cause and effect in epidemiology, hierarchical linear and nonlinear models, GIS raster data analysis, chaos theory in health, Lyapunov exponents, trajectory analysis, nonlinear dynamics, Jacobian matrices, health care intervention studies, public health data, phase resetting in health behaviors, Poincare return maps