000			03049nam a22003495i 4500
001			234852
003			ES-VaUE
005			20221220020628.0
007			cr nn 008mamaa
008			100301s2007 xxu| s |||| 0|eng d
020			_a9781597455305
024	7		_a10.1007/978-1-59745-530-5 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC
245	1	0	_aTopics in Biostatistics _cedited by Walter T. Ambrosius.
250			_a1st edition 2007
264		1	_aTotowa, NJ _bHumana Press _c2007
300			_a1 recurso en línea (XII, 528 páginas) _b
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aMethods in Molecular Biology _x1940-6029 _v404
505	0		_aStudy Design: The Basics -- Observational Study Design -- Descriptive Statistics -- Basic Principles of Statistical Inference -- Statistical Inference on Categorical Variables -- Development and Evaluation of Classifiers -- Comparison of Means -- Correlation and Simple Linear Regression -- Multiple Linear Regression -- General Linear Models -- Linear Mixed Effects Models -- Design and Analysis of Experiments -- Analysis of Change -- Logistic Regression -- Survival Analysis -- Basic Bayesian Methods -- Overview of Missing Data Techniques -- Statistical Topics in the Laboratory Sciences -- Power and Sample Size -- Microarray Analysis -- Association Methods in Human Genetics -- Genome Mapping Statistics and Bioinformatics -- Working with a Statistician.
520			_aBiostatistics can be a language nearly indecipherable to those not trained to speak it. In Topics in Biostatistics, a broad survey of biostatiscal methods, techniques are illustrated by clear, step-by-step instructions able to be performed with paper, a pencil, and a calculator. With subjects as diverse as descriptive statistics, study design, statistical inference, and linear and logistic regression, this volume invites the reader to better understand the language of statistics to aid in collaborations with biostatisticians or the deciphering of software manuals. Following the format of the highly successful Methods in Molecular Biology™ format, each protocol offers readily reproducible results, and, specifically in this case, provides the reader with a concise introduction to complicated statistical methods. Comprehensive and enlightening, Topics in Biostatistics is the perfect statistical resource for scientists in all disciplines attempting to comprehend this challenging mathematical field.
700	1		_aAmbrosius, Walter T _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9781617376238
776	0	8	_iPrinted edition: _z9781588295316
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-59745-530-5 _z(usuarios Universidad Europea de Valencia)
942			_2lcc _cLE
988			_aSpringer_Protocols_2007
999			_c234852 _d234852