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Titlebook: Clinical Data Analysis on a Pocket Calculator; Understanding the Sc Ton J. Cleophas,Aeilko H. Zwinderman Textbook 2016Latest edition Spring

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书目名称Clinical Data Analysis on a Pocket Calculator
副标题Understanding the Sc
编辑Ton J. Cleophas,Aeilko H. Zwinderman
视频video
概述The medical and health care uses the scientific method little, the book addresses how to daily use it.Statistical software programs are experienced as black boxes to non mathematiciens.All specific ad
图书封面Titlebook: Clinical Data Analysis on a Pocket Calculator; Understanding the Sc Ton J. Cleophas,Aeilko H. Zwinderman Textbook 2016Latest edition Spring
描述.Inmedical and health care the scientific method is little used, and statisticalsoftware programs are experienced as black box programs producing lots ofp-values, but little answers to scientific questions. The pocket calculatoranalyses appears to be, particularly, appreciated, because they enable medicaland health professionals and students for the first time to understand thescientific methods of statistical reasoning and hypothesis testing. So much so,that it can start something like a new dimension in their professional world. Inaddition, anumber of statistical methods like power calculations and required sample sizecalculations can be performed more easily on a pocket calculator, than using asoftware program. Also, there are some specific advantages of thepocket calculator method. You better understand what you are doing. The pocketcalculator works faster, because far less steps have to be taken, averages canbe used. The current nonmathematical book is complementary to thenonmathematical "SPSS for Starters and 2nd Levelers" (Springer HeidelbergGermany 2015, from the same authors), and can very well be used as its dailycompanion..
出版日期Textbook 2016Latest edition
关键词medicine; health care; statistical analyses; clinical data analysis; statistical software analysis; Entom
版次2
doihttps://doi.org/10.1007/978-3-319-27104-0
isbn_softcover978-3-319-80074-5
isbn_ebook978-3-319-27104-0
copyrightSpringer International Publishing Switzerland 2016
The information of publication is updating

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978-3-319-80074-5Springer International Publishing Switzerland 2016
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One-Sample Continuous Data (One-Sample ,-Test, One-Sample Wilcoxon Test)ate, if the data can be assumed to follow a Gaussian-like frequency distribution. For non-Gaussian-like data the one-sample Wilcoxon test will be appropriate. The example given shows that levels of statistical significance of the two tests are very similar.
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, – Die römisch-karthagischen Kriege,ures from the averages an index is needed. Why not simply add-up departures? However, this does not work, because generally the values higher and lower than the averages tend to even out, and the results would be zero. A pragmatic solution was taken by statisticians around the world. They decided to
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https://doi.org/10.1057/9780230593640nomenon is used for making predictions from your data to future data. However, this is only entirely true with large samples like samples >100. In practice many studies involve rather small samples and in order for your data from small samples to adequately fit a theoretical frequency distribution w
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