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003			BD-SySUS
005			20160413122322.0
007			cr nn 008mamaa
008			130722s2013 xxu| s |||| 0|eng d
020			_a9781461477921 _9978-1-4614-7792-1
024	7		_a10.1007/978-1-4614-7792-1 _2doi
050		4	_aQA276-280
072		7	_aPBT _2bicssc
072		7	_aMBNS _2bicssc
072		7	_aMED090000 _2bisacsh
082	0	4	_a519.5 _223
100	1		_aDeMaris, Alfred. _eauthor.
245	1	0	_aConverting Data into Evidence _h[electronic resource] : _bA Statistics Primer for the Medical Practitioner / _cby Alfred DeMaris, Steven H. Selman.
264		1	_aNew York, NY : _bSpringer New York : _bImprint: Springer, _c2013.
300			_aXV, 221 p. 48 illus., 24 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
520			_aConverting Data into Evidence: A Statistics Primer for the Medical Practitioner provides a thorough introduction to the key statistical techniques that medical practitioners encounter throughout their professional careers. These techniques play an important part in evidence-based medicine or EBM. Adherence to EBM requires medical practitioners to keep abreast of the results of medical research as reported in their general and specialty journals. At the heart of this research is the science of statistics. It is through statistical techniques that researchers are able to discern the patterns in the data that tell a clinical story worth reporting. The authors begin by discussing samples and populations, issues involved in causality and causal inference, and ways of describing data. They then proceed through the major inferential techniques of hypothesis testing and estimation, providing examples of univariate and bivariate tests. The coverage then moves to statistical modeling, including linear and logistic regression and survival analysis. In a final chapter, a user-friendly introduction to some newer, cutting-edge, regression techniques will be included, such as fixed-effects regression and growth-curve modeling. A unique feature of the work is the extensive presentation of statistical applications from recent medical literature. Over 30 different articles are explicated herein, taken from such journals. With the aid of this primer, the medical researcher will also find it easier to communicate with the statisticians on his or her research team. The book includes a glossary of statistical terms for easy access. This is an important reference work for the shelves of physicians, nurses, nurse practitioners, physician’s assistants, medical students, and residents. .
650		0	_aStatistics.
650	1	4	_aStatistics.
650	2	4	_aStatistics for Life Sciences, Medicine, Health Sciences.
650	2	4	_aStatistics, general.
700	1		_aSelman, Steven H. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9781461477914
856	4	0	_uhttp://dx.doi.org/10.1007/978-1-4614-7792-1
912			_aZDB-2-SMA
942			_2Dewey Decimal Classification _ceBooks
999			_c44948 _d44948