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Biostatistics with 'R' = a guide for medical doctors /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Biostatistics with 'R'/ by Marco Moscarelli.
Reminder of title:	a guide for medical doctors /
Author:	Moscarelli, Marco.
Published:	Cham :Springer International Publishing : : 2023.,
Description:	xvi, 241 p. :ill., digital ; : 24 cm.;
Contained By:	Springer Nature eBook
Subject:	Biometry - Data processing. -
Online resource:	https://doi.org/10.1007/978-3-031-33073-5
ISBN:	9783031330735

Biostatistics with 'R' = a guide for medical doctors /
Moscarelli, Marco.

Biostatistics with 'R'a guide for medical doctors /[electronic resource] :by Marco Moscarelli. - Cham :Springer International Publishing :2023. - xvi, 241 p. :ill., digital ;24 cm.

Chapter 1. Introduction -- Chapter 2. How "R" works -- Chapter 3. Exploratory data analysis in "R" -- Chapter 4. Data types in "R" -- Chapter 5. Data distribution -- Chapter 6. Precision, accuracy, indices of central tendency -- Chapter 7. Correlation -- Chapter 8. Hypothesis testing -- Chapter 9. Linear regression -- Chapter 10. Logistic regression -- Chapter 11. Survival analysis -- Chapter 12. Propensity score matching.

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 realistic dataset ready to be analysed. The dataset along with the R-script can be downloaded from GitHub, and each chapter has dedicated scripts that will enhance the understanding of R 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.

ISBN: 9783031330735

Standard No.: 10.1007/978-3-031-33073-5doiSubjects--Topical Terms:

772679
Biometry
--Data processing.

LC Class. No.: QH323.5

Dewey Class. No.: 570.15195

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505 0 $a Chapter 1. Introduction -- Chapter 2. How "R" works -- Chapter 3. Exploratory data analysis in "R" -- Chapter 4. Data types in "R" -- Chapter 5. Data distribution -- Chapter 6. Precision, accuracy, indices of central tendency -- Chapter 7. Correlation -- Chapter 8. Hypothesis testing -- Chapter 9. Linear regression -- Chapter 10. Logistic regression -- Chapter 11. Survival analysis -- Chapter 12. Propensity score matching.
520 $a 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 realistic dataset ready to be analysed. The dataset along with the R-script can be downloaded from GitHub, and each chapter has dedicated scripts that will enhance the understanding of R 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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