000			03384cam a2200613 i 4500
001			ocn908107408
003			OCoLC
005			20171224114903.0
006			m o d
007			cr |||||||||||
008			150424s2015 enk ob 001 0 eng
010			_a 2015016424
040			_aDLC _beng _erda _cDLC _dYDX _dN$T _dDG1 _dYDXCP _dDEBBG _dKSU
020			_a9781118913413 (epub)
020			_a1118913418 (epub)
020			_a9781118913406 (pdf)
020			_a111891340X (pdf)
020			_z9781118913383 (cloth)
020			_a9781119109075
020			_a1119109078
029	1		_aGBVCP _b834332892
029	1		_aDEBBG _bBV043397751
035			_a(OCoLC)908107408
042			_apcc
050	0	0	_aRS57
060	1	0	_aQV 20.5
072		7	_aMED _x071000 _2bisacsh
082	0	0	_a615/.1072 _223
049			_aMAIN
100	1		_aRowe, Philip, _eauthor.
245	1	0	_aEssential statistics for the pharmaceutical sciences / _cPhilip Rowe.
250			_aSecond edition.
264		1	_aChichester, West Sussex ; _aHoboken, NJ : _bWiley, _c[2015]
300			_a1 online resource.
336			_atext _2rdacontent
337			_acomputer _2rdamedia
338			_aonline resource _2rdacarrier
504			_aIncludes bibliographical references and index.
505	0		_aData types -- Data presentation -- Descriptive statistics for interval scale data -- The normal distribution -- Sampling from populations. the standard error of the mean -- 95% confidence interval for the mean and data transformation -- The two-sample t-test (1): introducing hypothesis tests -- The two-sample t-test (2): the dreaded P value -- The two-sample t-test (3): false negatives, power and necessary sample sizes -- The two-sample t-test (4): statistical significance, practical significance and equivalence -- The two-sample t-test (5): one-sided testing -- What does a statistically significant result really tell us? -- The paired t-test: comparing two related sets of measurements -- Analyses of variance: going beyond t-tests -- Correlation and regression relationships between measured values -- Analysis of covariance -- Describing categorised data and the goodness of fit chi-square test -- Contingency chi-square, Fisher's and McNemar's tests -- Relative risk, odds ratio and number needed to treat -- Logistic regression -- Ordinal and non-normally distributed data. transformations and non-parametric tests -- Measures of agreement -- Survival analysis -- Multiple testing -- Questionnaires.
588			_aDescription based on print version record and CIP data provided by publisher.
650		0	_aDrugs _xResearch _xStatistical methods.
650		0	_aPharmacology _xStatistical methods.
650		7	_aMEDICAL / Pharmacology _2bisacsh
650		2	_aResearch Design.
650		2	_aStatistics as Topic.
650		2	_aPharmacology _xmethods.
655		4	_aElectronic books.
776	0	8	_iPrint version: _aRowe, Philip, author. _tEssential statistics for the pharmaceutical sciences _bSecond edition. _dChichester, West Sussex ; Hoboken, NJ : John Wiley and Sons, Inc., [2015] _z9781118913383 _w(DLC) 2015015316
856	4	0	_uhttp://onlinelibrary.wiley.com/book/10.1002/9781119109075 _zWiley Online Library
938			_aEBSCOhost _bEBSC _n1032908
938			_aYBP Library Services _bYANK _n12539543
938			_aYBP Library Services _bYANK _n12541836
994			_a92 _bDG1
999			_c14022 _d14022