000			03175cam a22002657a 4500
020			_a9781588295316 (alk. paper)
020			_a1588295311 (alk. paper)
082	0	4	_a574.0212 _bTOP
245	0	0	_aTopics in biostatistics / _cedited by Walter T. Ambrosius.
260			_aTotowa, N.J. : _bHumana Press, _cc2007.
300			_axii, 528 p. : _bill. ;
490	1		_aMethods in molecular biology,
504			_aIncludes bibliographical references and index.
505	0		_aStudy design: the basics / Hyun Ja Lim and Raymond G. Hoffmann -- Observational study design / Raymond G. Hoffmann and Hyun Ja Lim -- Descriptive statistics / Todd G. Nick -- Basic principles of statistical inference / Wanzhu Tu -- Statistical inference on categorical variables / Susan M. Perkins -- Development and evaluation of classifiers / Todd A. Alonzo and Margaret Sullivan Pepe -- Comparison of means / Nancy Berman -- Correlation and simple linear regression / Lynn E. Eberly -- Multiple linear regression / Lynn E. Eberly -- General linear models / Edward H. Ip -- Linear mixed effects models / Ann L. Oberg and Douglas W. Mahoney -- Design and analysis of experiments / Jonathan J. Shuster -- Analysis of change / James J. Grady -- Logistic regression / Todd G. Nick and Kathleen M. Campbell -- Survival analysis / Hongyu Jiang and Jason P. Fine -- Basic Bayesian methods / Mark E. Glickman and David A. van Dyk -- Overview of missing data techniques / Ralph B. D'agostino, Jr. -- Statistical topics in the laboratory sciences / Curtis A. Parvin -- Power and sample size / L. Douglas Case and Walter T. Ambrosius -- Microarray analysis / Grier P. Page ... [et al.] -- Association methods in human genetics / Carl D. Langefeld and Tasha E. Fingerlin -- Genome mapping statistics and bioinformatics / Josyf C. Mychaleckyj -- Working with a statistician / Nancy Berman and Christina Gullion.
520			_aPresents a multidisciplinary survey of biostatics methods, each illustrated with hands-on examples. Methods range from the elementary, including descriptive statistics, study design, statistical interference, categorical variables, evaluation of diagnostic tests, comparison of means, linear regression, and logistic regression. These introductory methods create a portfolio of biostatistical techniques for both novice and expert researchers. More complicated statistical methods are introduced as well, including those requiring either collaboration with a biostatistician or the use of a statistical package. Specific topics of interest include microarray analysis, missing data techniques, power and sample size, statistical methods in genetics.--
650		0	_aBiometry
650	1	2	_aBiometry
650	2	2	_aInformatics
650	0	7	_aBiostatistik.
700	1		_aAmbrosius, Walter T.
856	4	1	_uhttp://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=016543756&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
856	4		_uhttp://digitool.hbz-nrw.de:1801/webclient/DeliveryManager?pid=2129961&custom_att_2=simple_viewer
856	4		_uhttp://digitool.hbz-nrw.de:1801/webclient/DeliveryManager?pid=2415289&custom_att_2=simple_viewer
942			_cBK
999			_c261337 _d261337