| 000 | 02853nam a22004095i 4500 | ||
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| 001 | 60009 | ||
| 005 | 20200226102632.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 160823s2017 gw | s |||| 0|eng d | ||
| 020 |
_a9783319395869 _9978-3-319-39586-9 |
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| 024 | 7 |
_a10.1007/978-3-319-39586-9 _2doi |
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| 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 |
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| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 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 |
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