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003			ES-MaUEC
005			20230102114419.0
008			201105s2020 si | o |||| 0|eng d
020			_a9789811582103
024	7		_a10.1007/978-981-15-8210-3 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aR853.S7 _b2020 EB
100	1		_aBasavarajaiah, D. M. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9677126
245	1	0	_aDesign of Experiments and Advanced Statistical Techniques in Clinical Research _cby Basavarajaiah D. M., Bhamidipati Narasimha Murthy
250			_aFirst edition 2020
264		1	_aSingapore _bSpringer Singapore _c2020
300			_a1 recurso en línea (XXXV, 356 páginas) _b190 ilustraciones, 133 ilustraciones en color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aBiomedical and Life Sciences (SpringerNature-11642)
490	0		_aBiomedical and Life Sciences (R0) (SpringerNature-43708)
505	0		_aDesign of Clinical Research and its Practical Approach -- Advanced Design of Experiment Approach to Clinical and Medical Research -- Random Forest and Concept of Decision Tree Model -- Application of Machine Learning in Medical Research -- Statistical Genetic and its Application in Drug Trail -- Statistical Implications for Estimation of Genetic Traits in Human Vaccine Trail -- Statistical Implications and its Practical Approach to Research Methodology -- Statistical Models Approach to Life Threatened Diseases -- Meta Analysis in Clinical and Life Science Research -- Pharmokinitic and Statistical Modelling -- Imputation Methods Approach to Clinical and Life Science Research Data Sets -- Ethical Perspective of Medical Research.
520	3		_aRecent Statistical techniques are one of the basal evidence for clinical research, a pivotal in handling new clinical research and in evaluating and applying prior research. This book explores various choices of statistical tools and mechanisms, analyses of the associations among different clinical attributes. It uses advanced statistical methods to describe real clinical data sets, when the clinical processes being examined are still in the process. This book also discusses distinct methods for building predictive and probability distribution models in clinical situations and ways to assess the stability of these models and other quantitative conclusions drawn by realistic experimental data sets. Design of experiments and recent posthoc tests have been used in comparing treatment effects and precision of the experimentation. This book also facilitates clinicians towards understanding statistics and enabling them to follow and evaluate the real empirical studies (formulation of randomized control trial) that pledge insight evidence base for clinical practices. This book will be a useful resource for clinicians, postgraduates scholars in medicines, clinical research beginners and academicians to nurture high-level statistical tools with extensive scope.
988			_aSpringer_BiomedLife_dic2020
650		7	_2embne _aEstadística médica _9144772
650		7	_2embne _aMedicina _xInvestigación _9168783
700	1		_aNarasimha Murthy, Bhamidipati _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9677127
710	2		_aSpringerLink
773	0		_tSpringer Nature eBook
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-15-8210-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2021 _dz _eb _zSI