Data Analysis in Medicine and Health Using R

In medicine and health, data are analysed to guide treatment plan, patients care as well as the control and prevention policies. However, in doing so, researchers in medicine and health often lack the understanding of data and statistical concepts and the skills in programming.

Sommario

1. R, RStudio and RStudio Cloud 2. R Scripts and R Packages 3. RStudio Project 4. Data Visualization 5. Data Wrangling 6. Exploratory Data Analysis 7. Linear Regression 8. Binary Logistic Regression 9. Multinomial Logistic Regression 10. Poisson Regression 11. Survival Analysis: Kaplan-Meier and Cox Proportional Hazard (PH) Regression 12. Parametric Survival Analysis 13. Introduction to Missing Data Analysis 14. Model Building and Variable Selection

Info autore

Kamarul Imran Musa is an associate professor and medical epidemiologist at the School of Medical Sciences, Universiti Sains Malaysia. He is a registered public health physician with the Malaysia National Specialist Registry and a Fellow of the American College of Epidemiology (FACE). He is also a core member of the Malaysia R User group and conducts regular workshops on data and statistical analysis at the national level.
Wan Nor Arifin is a senior lecturer at the Biostatistics and Research Methodology Unit, School of Medical Sciences, Universiti Sains Malaysia. His research is mainly in validating measurement tools and machine learning, especially for use in clinical and public health settings. He is also a core member of the Malaysia R User group. He uses the R statistical programming language on a daily basis and promotes its use in medical research.
Tengku Muhammad Hanis is a PhD student at the School of Medical Sciences, Universiti Sains Malaysia. He holds a master's degree in medical statistics. His interests lie in the application of medical statistics and machine learning in medicine. He has run several workshops on bibliometric analysis, systematic reviews, and meta-analysis. He is passionate about R and always excited about its potential in medical and health research.

Riassunto

In medicine and health, data are analysed to guide treatment plan, patients care as well as the control and prevention policies. However, in doing so, researchers in medicine and health often lack the understanding of data and statistical concepts and the skills in programming.

Dettagli sul prodotto

• Autori: Tengku Muhammad Hanis, Wan Nor Arifin Wan Mansor, Kamarul Imran Musa, Kamarul Imran Mansor Musa, Tengku Muhammad Hanis Tengk
• Editore: Taylor & Francis Ltd.
• Lingue: Inglese
• Formato: Copertina rigida
• Pubblicazione: 12.09.2023
• EAN: 9781032284156
• ISBN: 978-1-0-3228415-6
• Pagine: 294
• Serie: Analytics and AI for Healthcare
• Categorie: Scienze naturali, medicina, informatica, tecnica > Medicina > Tematiche generali; Scienze sociali, diritto, economia > Media, comunicazione > Scienze della comunicazione; COMPUTERS / Computer Science, MATHEMATICS / Probability & Statistics / General, MEDICAL / Health Care Delivery, SCIENCE / Life Sciences / Biology, REFERENCE / Research, computer science, Biology, life sciences, Probability & statistics, Databases, Health systems & services, Probability and statistics, Public ownership / nationalization, Health systems and services, Research methods: general, Computer Programming / Software Development, COMPUTERS / Database Administration & Management