000			03407cam a22003137i 4500
999			_c51289 _d52836
003			ISURa
008			140930s2015 nyuac b 001 0 eng
020			_a9781493921331
020			_a1493921339
041			_aEnglish
082	0	4	_a614.4072 _bWAS
100	1		_aWassertheil-Smoller Sylvia _969837
245	1	0	_aBiostatistics and epidemiology _ba primer for health and biomedical professionals
250			_a4 ed.
260			_aNew York. _b Springer, _c 2015
300			_axx, 260 pages : _c20 cm _bsome col.
500			_a Since the publication of the first edition, Biostatistics and Epidemiology has attracted loyal readers from across specialty areas in the biomedical community. Not only does this textbook teach foundations of epidemiological design and statistical methods, but it also includes topics applicable to new areas of research. Areas covered in the fourth edition include a new chapter on risk prediction, risk reclassification and evaluation of biomarkers, new material on propensity analyses, and a vastly expanded chapter on genetic epidemiology, which is particularly relevant to those who wish to understand the epidemiological and statistical aspects of scientific articles in this rapidly advancing field. Biostatistics and Epidemiology was written to be accessible for readers without backgrounds in mathematics. It provides clear explanations of underlying principles, as well as practical guidelines of "how to do it" and "how to interpret it."a philosophical explanation of the logic of science, subsections that can stand alone or serve as reference, cross-referencing, recommended reading, and appendices covering sample calculations for various statistics in the text.
520			_aSince the publication of the first edition, Biostatistics and Epidemiology has attracted loyal readers from across specialty areas in the biomedical community. Not only does this textbook teach foundations of epidemiological design and statistical methods, but it also includes topics applicable to new areas of research. Areas covered in the fourth edition include a new chapter on risk prediction, risk reclassification and evaluation of biomarkers, new material on propensity analyses, and a vastly expanded chapter on genetic epidemiology, which is particularly relevant to those who wish to understand the epidemiological and statistical aspects of scientific articles in this rapidly advancing field. Biostatistics and Epidemiology was written to be accessible for readers without backgrounds in mathematics. It provides clear explanations of underlying principles, as well as practical guidelines of "how to do it" and "how to interpret it." Key features include a philosophical explanation of the logic of science, subsections that can stand alone or serve as reference, cross-referencing, recommended reading, and appendices covering sample calculations for various statistics in the text. --
650		0	_aEpidemiology _xStatistical methods. _969838
650		0	_aClinical trials _xStatistical methods. _969839
650	1	2	_aBiostatistics _xmethods. _969840
650	2	2	_aBiometry. _931404
650	2	2	_aEpidemiology. _912980
650		7	_aClinical trials _xStatistical methods. _2fast _969839
650		7	_aEpidemiology _xStatistical methods. _2fast _969838
700	1		_aSmoller, Jordan W. _969841
856	4	2	_uhttps://www.loc.gov/catdir/enhancements
942			_2ddc _cLN