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008			220601s2007 sz | s |||| 0|eng d
020			_a9783031016202
024	7		_a10.1007/978-3-031-01620-2 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aRA409 _b2007 EB
100	1		_aRopella, Kristina M. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687874 _d1963- _q(Kristina Marie),
245	1	0	_aIntroduction to Statistics for Biomedical Engineers _cby Kristina Ropella
250			_a1st edition 2007
264		1	_aCham _bSpringer International Publishing _c2007
300			_a1 recurso en línea (VIII, 93 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSynthesis Lectures on Biomedical Engineering _x1930-0336
505	0		_aContents: Introduction -- Collecting Data and Experimental Design -- Data Summary and Descriptive Statistics -- Assuming a Probability Model from the Sample Data -- Statistical Inference -- Linear Regression and Correlation Analysis -- Power Analysis and Sample Size -- Just the Beginning -- Bibliography.
520			_aThere are many books written about statistics, some brief, some detailed, some humorous, some colorful, and some quite dry. Each of these texts is designed for a specific audience. Too often, texts about statistics have been rather theoretical and intimidating for those not practicing statistical analysis on a routine basis. Thus, many engineers and scientists, who need to use statistics much more frequently than calculus or differential equations, lack sufficient knowledge of the use of statistics. The audience that is addressed in this text is the university-level biomedical engineering student who needs a bare-bones coverage of the most basic statistical analysis frequently used in biomedical engineering practice. The text introduces students to the essential vocabulary and basic concepts of probability and statistics that are required to perform the numerical summary and statistical analysis used in the biomedical field. This text is considered a starting point for important issues to consider when designing experiments, summarizing data, assuming a probability model for the data, testing hypotheses, and drawing conclusions from sampled data. A student who has completed this text should have sufficient vocabulary to read more advanced texts on statistics and further their knowledge about additional numerical analyses that are used in the biomedical engineering field but are beyond the scope of this text. This book is designed to supplement an undergraduate-level course in applied statistics, specifically in biomedical engineering. Practicing engineers who have not had formal instruction in statistics may also use this text as a simple, brief introduction to statistics used in biomedical engineering. The emphasis is on the application of statistics, the assumptions made in applying the statistical tests, the limitations of these elementary statistical methods, and the errors often committed in using statistical analysis. A number of examples from biomedical engineering research and industry practice are provided to assist the reader in understanding concepts and application. It is beneficial for the reader to have some background in the life sciences and physiology and to be familiar with basic biomedical instrumentation used in the clinical environment. Contents: Introduction / Collecting Data and Experimental Design / Data Summary and Descriptive Statistics / Assuming a Probability Model from the Sample Data / Statistical Inference / Linear Regression and Correlation Analysis / Power Analysis and Sample Size / Just the Beginning / Bibliography.
988			_aSynthesis Collection of Technology_2007
650		7	_2embne _9144772 _aEstadística médica
650		7	_2embne _9139105 _aBiometría
650		7	_2embne _9139084 _aBioingeniería
776	0	8	_iPrinted edition: _z9783031000430
776	0	8	_iPrinted edition: _z9783031004926
776	0	8	_iPrinted edition: _z9783031027482
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-01620-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b03/2023 _dz _esc _zSI