Buch, Englisch, 241 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 606 g
ISBN: 978-3-031-33072-8
Verlag: Springer International Publishing
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.
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Fachgebiete
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Public Health, Gesundheitsmanagement, Gesundheitsökonomie, Gesundheitspolitik
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Biomedizin, Medizinische Forschung, Klinische Studien
- Naturwissenschaften Biowissenschaften Angewandte Biologie Biomathematik
Weitere Infos & Material
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.