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020 _a9783031330735
024 7 _a10.1007/978-3-031-33073-5
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQH323.5
_b2023 EB
100 1 _aMoscarelli, Marco
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9690469
245 1 0 _aBiostatistics With 'R': A Guide for Medical Doctors
_cby Marco Moscarelli
250 _a1st ed. 2023
264 1 _aCham
_bSpringer International Publishing
_c2023
300 _a1 recurso en línea
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
505 0 _aChapter 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 _aThis 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. .
988 _aSpringer_Medicine_2023
650 7 _2embne
_9139105
_aBiometría
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-33073-5
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b06/2024
_dz
_ek
_zSI