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008			170828s2018 gw | s |||| 0|eng d
020			_a9783319596266 _9
024	7		_a10.1007/978-3-319-59626-6 _2doi
040			_aES-MaUEC _bspa
050		4	_aRA410.5 _b.H655 2018 EB
100	1		_aHollar, David W _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _0http://id.loc.gov/authorities/names/n92035923 _0http://viaf.org/viaf/65662016
245	1	0	_aTrajectory Analysis in Health Care _cby David W. Hollar.
264		1	_aCham _bSpringer International Publishing _c2018
300			_a1 recurso en línea (XVI, 264 páginas 63 ilustraciones, 49 ilustraciones a color)
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
505	0		_a 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.
520	3		_aThis 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. .
650		7	_aAsistencia sanitaria _2embne _9138782
776	0	8	_iEdición impresa: _z9783319596259
776	0	8	_iEdición impresa: _z9783319596273
776	0	8	_iEdición impresa: _z9783319866659
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-59626-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
490	0		_aMedicine (Springer-11650)
988			_aSpringer_Medicine_2018
998			_b01/2019 _dz _ef _feng _ggw _h0
999			_c100077 _d100077 _x1