02859nam 22005655 450 991073941210332120230814074728.03-031-33073-010.1007/978-3-031-33073-5(MiAaPQ)EBC30697489(Au-PeEL)EBL30697489(DE-He213)978-3-031-33073-5(PPN)272273341(CKB)27982085800041(EXLCZ)992798208580004120230814d2023 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierBiostatistics With 'R': A Guide for Medical Doctors /by Marco Moscarelli1st ed. 2023.Cham :Springer International Publishing :Imprint: Springer,2023.1 online resource (248 pages)Print version: Moscarelli, Marco Biostatistics with 'R': a Guide for Medical Doctors Cham : Springer International Publishing AG,c2023 9783031330728 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. .MedicineBiometryClinical medicineResearchClinical MedicineBiostatisticsClinical ResearchMedicine.Biometry.Clinical medicineResearch.Clinical Medicine.Biostatistics.Clinical Research.610610.727Moscarelli Marco1424024MiAaPQMiAaPQMiAaPQBOOK9910739412103321Biostatistics with 'R3552858UNINA