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040			_aES-MaUEC _bspa _cES-MaUEC
336			_aTexto _btxt _2rdacontent
710	2		_aSpringerLink (Online service) _0http://id.loc.gov/authorities/names/no2005046756 _1http://viaf.org/viaf/148105729 _9106996
999			_c100968 _d100968 _x1
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005			20230102113019.0
008			180129s2018 gw | s |||| 0|eng d
020			_a9783319719375
024	7		_a10.1007/978-3-319-71937-5 _2doi
050		4	_aQH323.5 .C54 2018 EB
100	1		_aCleophas, Ton J. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _1http://viaf.org/viaf/5106724 _986087
245	1	0	_aRegression Analysis in Medical Research : _bfor Starters and 2nd Levelers _cby Ton J. Cleophas, Aeilko H. Zwinderman.
264		1	_aCham, Switzerland _bSpringer International Publishing _c2018
300			_a1 recurso en línea (XII, 426 páginas 511 ilustraciones,65 ilustraciones a color)
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aBiomedical and Life Sciences (Springer-11642)
505	0		_aPreface -- Continuous Outcome Regressions -- Dichotomous Outcome Regressions -- Confirmative Regressions -- Dichotomous Regressions Other than Logistic and Cox -- Polytomous Outcome Regressions -- Time to Event Regressions other than Traditional Cox -- Analysis of Variance (ANOVA) -- Repeated Outcome Regressions -- Methodologies for Better Fit of Categorical Predictors -- Laplace Regressions, Multi- instead of Mono-Exponential Models -- Regressions For Making Extrapolations -- Standardized Regression Coefficients -- Multivariate Analysis of Variance and Canonical Regression -- More on Poisson Regressions -- Regression Trend Testing -- Optimal Scaling and Automatic Linear Regression -- Spline Regressions -- More on Nonlinear Regressions -- Special Forms of Continuous Outcome Regressions -- Regressions for Quantitative Diagnostic Testing -- Regressions, a Panacee or at Least a Widespread Help for Data Analyses -- Regression Trees -- Regressions with Latent Variables -- Partial Correlations -- Functional Data Analysis I -- Functional Data Analysis II -- Index.
520	3		_aThis edition is a pretty complete textbook and tutorial for medical and health care students, as well as a recollection/update bench, and help desk for professionals. Novel approaches already applied in published clinical research will be addressed: matrix analyses, alpha spending, gate keeping, kriging, interval censored regressions, causality regressions, canonical regressions, quasi-likelihood regressions, novel non-parametric regressions. Each chapter can be studied as a stand-alone, and covers one field in the fast growing world of regression analyses. The authors, as professors in statistics and machine learning at European universities, are worried, that their students find regression-analyses harder than any other methodology in statistics. This is serious, because almost all of the novel methodologies in current data mining and data analysis include elements of regression-analysis. It is the main incentive for writing this 28 chapter edition, consistent of - 28 major fields of regression analysis, - their condensed maths, - their applications in medical and health research as published so far, - step by step analyses for self-assessment, - conclusion and reference sections. Traditional regression analysis is adequate for epidemiology, but lacks the precision required for clinical investigations. However, in the past two decades modern regression methods have proven to be much more precise. And so it is time, that a book described regression analyses for clinicians. The current edition is the first to do so. It is written for a non-mathematical readership. Self-assessment data-files are provided through Springer' s "Extras Online".
650		7	_aMedicina _2embne _9405021
650		7	_aEstadística médica _2embne _9144772
650		7	_aBiometría _2embne _9139105
700	1		_aZwinderman, Aeilko H. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _0http://id.loc.gov/authorities/names/n00010429 _1http://viaf.org/viaf/69166034 _986088
776	0	8	_iEdición impresa: _z9783319719368
776	0	8	_iEdición impresa: _z9783319719382
776	0	8	_iEdición impresa: _z9783319891231
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-71937-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_aSI _b03/2019 _cm _dz _ep _feng _ggw _h0