Buch, Englisch, 414 Seiten, Format (B × H): 183 mm x 260 mm, Gewicht: 970 g
Study Design and Data Analysis
Buch, Englisch, 414 Seiten, Format (B × H): 183 mm x 260 mm, Gewicht: 970 g
ISBN: 978-1-032-96465-2
Verlag: Chapman and Hall/CRC
R Companion to Epidemiology: Study Design and Data Analysis is a companion volume to the classic textbook by Mark Woodward, Epidemiology: Study Design and Data Analysis, Third Edition. It aims to equip the reader with sufficient knowledge to use R for practising epidemiology. Towards this aim, it reworks the examples in the textbook, presenting the code followed by an explanation and its result.
Key Features:
- Almost all of the numerical examples in the textbook are reworked in R
- R code is introduced in small portions and explained thoroughly
- Complexity of introduced code is increased only gradually
- More than 300 commands spanning more than 40 libraries are introduced
The book is intended primarily to be used as a supplement to the textbook by undergraduate and graduate students in the fields of epidemiology and statistics. It will also serve practitioners and researchers in epidemiology who want to learn R for use in their work.
Zielgruppe
Academic, Postgraduate, Professional Reference, and Undergraduate Advanced
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
1. Fundamental Issues. 2. Basic Analytical Procedures. 3. Assessing Risk Factors. 4. Confounding And Interaction. 5. Cohort Studies. 6. Case-Control Studies. 7. Intervention Studies. 8. Sample Size Determination. 9. Modeling Quantitative Outcome Variables. 10. Modeling Binary Outcome Data. 11. Modeling Follow-Up Data. 12. Meta-Analysis. 13. Risk Scores And Clinical Decision Rules. 14. Computer-Intensive Methods.
