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