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Pairing Regression Model and R Programming
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Copyright: 2023
Pages: 9
Source title:
Controlling Epidemics With Mathematical and Machine Learning Models
Source Author(s)/Editor(s): Abraham Varghese (University of Technology and Applied Sciences, Muscat, Oman), Eduardo M. Lacap, Jr. (University of Technology and Applied Sciences, Muscat, Oman), Ibrahim Sajath (University of Technology and Applied Sciences, Muscat, Oman), M. Kamal Kumar (University of Technology and Applied Sciences, Muscat, Oman) and Shajidmon Kolamban (University of Technology and Applied Sciences, Muscat, Oman)
DOI: 10.4018/978-1-7998-8343-2.ch009
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Abstract
This chapter provides an overview of the popularity of linear regression in medical research. In particular, the implementation of R programming in executing regression analysis was given emphasis using RStudio as the integrated development environment. Importing dataset and consequent exploratory data analysis were also presented in this chapter. In addition, the use of the most popular visualization package in R was also demonstrated. At the very least, this chapter encapsulates the whole process of regression analysis from data ingestion, visualization, model building, and model testing. Software and packages used in this chapter were all free and open-source, which ensures that the implemented codes will be reproduceable.
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