A Review on Logistic Regression in Medical Research

Nihar Ranjan Panda

doi:10.55489/njcm.134202222

Authors

Nihar Ranjan Panda Biostatistician

DOI:

https://doi.org/10.55489/njcm.134202222

Keywords:

Logistic regression, Odds ratio, R programming

Abstract

In today’s scenarios many healthcare decisions are being taken by predictive modeling and machine learning techniques. With this review, we focused on logistic regression model, a kind of predictive modeling used in machine learning, and how healthcare researchers take decisions by the help of predictive modeling. For a better data analysis in healthcare, we need to understand the concept of logistic regression as well as others terms, which are linked with it. so that we can clearly understand the concept behind it and implement in medical research. In this review we worked on an example and illustrated how to perform logistic regression using R programming language. The aim of this paper is to understand logistic regression in healthcare and implement it for decision making.

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