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008 160823s2017 gw | s |||| 0|eng d
020 _a9783319395869
_9978-3-319-39586-9
024 7 _a10.1007/978-3-319-39586-9
_2doi
035 _a(DE-He213)978-3-319-39586-9
050 4 _aR1
072 7 _aMB
_2bicssc
072 7 _aMED000000
_2bisacsh
082 0 4 _a610
_223
100 1 _aCleophas, Ton J.
_eauthor.
245 1 0 _aUnderstanding Clinical Data Analysis
_h[electronic resource] :
_bLearning Statistical Principles from Published Clinical Research /
_cby Ton J. Cleophas, Aeilko H. Zwinderman.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2017.
300 _aX, 234 p. 211 illus., 92 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aPreface -- Randomness -- Randomized and Observational Research -- Randomized Clinical Trials, Designs -- Randomized Clinical Trials, Analysis Sets, Statistical Analysis, Reporting Issues -- Discrete Data Analysis, Failure Time Data Analysis -- Quantitative Data Analysis -- Subgroup Analysis -- Interim Analysis -- Multiplicity Analysis -- Medical Statistics, a Discipline at the Interface of Biology and Mathematics.-Index.
520 _aThis textbook consists of ten chapters, and is a must-read to all medical and health professionals, who already have basic knowledge of how to analyze their clinical data, but still, wonder, after having done so, why procedures were performed the way they were. The book is also a must-read to those who tend to submerge in the flood of novel statistical methodologies, as communicated in current clinical reports, and scientific meetings. In the past few years, the HOW-SO of current statistical tests has been made much more simple than it was in the past, thanks to the abundance of statistical software programs of an excellent quality. However, the WHY-SO may have been somewhat under-emphasized. For example, why do statistical tests constantly use unfamiliar terms, like probability distributions, hypothesis testing, randomness, normality, scientific rigor, and why are Gaussian curves so hard, and do they make non-mathematicians getting lost all the time? The book will cover the WHY-SOs.
650 0 _aMedicine.
650 1 4 _aMedicine & Public Health.
650 2 4 _aMedicine/Public Health, general.
700 1 _aZwinderman, Aeilko H.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319395852
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-39586-9
912 _aZDB-2-SME
999 _c8484
_d8484