Data analysis in medicine and health using R / Kamarul Imran Musa, Wan Nor Arifin Wan Mansour, Tengku Muhammad Hanis.

Format:

Book

Author/Creator:

Musa, Kamarul Imran, author.

Mansor, Wan Nor Arifin Wan, author.

Hanis, Tengku Muhammad, author.

Contributor:

Taylor & Francis eBooks

William Pepper Medical Library Fund.

Series:

Analytics and AI for Healthcare

Language:

English

Subjects (All):

Medicine--Data processing.

Medicine.

Public health--Data processing.

Public health.

R (Computer program language).

Physical Description:

1 online resource (xvi, 294 pages).

Edition:

First edition.

Place of Publication:

Boca Raton : CRC Press, Taylor & Francis Group, 2024.

Biography/History:

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.

Contents:

1. R, RStudio and RStudio Cloud 2. R Scripts and R Packages 3.RStudio Project4.Data Visualization5.Data Wrangling6.Exploratory Data Analysis7.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

Notes:

Electronic reproduction. London Available via World Wide Web.

Vendor-supplied metadata.

Local Notes:

Acquired for the Penn Libraries with assistance from the William Pepper Medical Library Fund.

ISBN:

9781003296775

1003296777

9781000957303

1000957306

9781000957327

1000957322

Publisher Number:

99994805827

Access Restriction:

Restricted for use by site license.