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Titlebook: Biostatistics With ‘R‘: A Guide for Medical Doctors; Marco Moscarelli Book 2023 The Editor(s) (if applicable) and The Author(s), under exc

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發(fā)表于 2025-3-23 11:27:25 | 只看該作者
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發(fā)表于 2025-3-23 16:05:01 | 只看該作者
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發(fā)表于 2025-3-23 20:48:38 | 只看該作者
,How “R” Works,w R-studio works and how to create objects, basic functions and other fundamental features. Coding in “R” can be intricate, so this chapter demonstrates straightforward examples. It also introduces “scripts” (text files containing commands), which are extensively used in “R”.
14#
發(fā)表于 2025-3-23 22:38:43 | 只看該作者
Hypothesis Testing,arametric versions or with different variance. Those statistical tests are commonly used in daily practice and are always found in scientific and medical papers. Finally, it briefly explains how to build matrices in “R”.
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發(fā)表于 2025-3-24 02:29:24 | 只看該作者
Book 2023R and biostatistics.?. .Specifically designed for whoever works in the medical-academic environment, this practical guide will help the reader to become familiar with basic to advanced biostatistics topic (descriptive - analysis / regression etc.) and to?gain solid knowledge of R.?.
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發(fā)表于 2025-3-24 08:59:41 | 只看該作者
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發(fā)表于 2025-3-24 13:01:05 | 只看該作者
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發(fā)表于 2025-3-24 18:52:23 | 只看該作者
with a dataset called ‘MMstat’.This book aims not only to introduce fundamental biostatistics topics but to explain them through R-project (R-studio). ‘R‘ is perhaps the more used statistical software in the medical field.?.It is structured as a ‘scientific journey‘ and comes with a sham yet realis
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發(fā)表于 2025-3-24 21:48:03 | 只看該作者
Monopoly: Merchants and Monarchy,tile, boxplot and density plot are all important graphical tools to inspect for normality. This chapter will also explain the basics of ., the most used R-package for creating elegant plotting in “R”, and provide examples of how to create a plot layer by layer.
20#
發(fā)表于 2025-3-24 23:41:27 | 只看該作者
Merchants, Markets and Manufacturevel) and tells us how confident we are that the true population parameter is included in the range. There is a trade-off between precision and accuracy, yet larger sample sizes mitigate this interchange.
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