Maximum Accuracy Machine Learning Statistical Analysis-A Novel Approach.

Journal: Cancer treatment and research
Published Date:

Abstract

Logistic regression is a statistical tool of paramount significance in the field of epidemiology and ranks as one of the most frequently published multivariable analyses for designs involving a single binary dependent variable and one or more independent variables in the fields of public health and medical research.

Authors

  • Shannon Ugarte
    SONAR (Southern Network on Adverse Reactions) Program, University of South Carolina College of Pharmacy, Columbia, SC, 29208, USA.
  • Paul Yarnold
    SONAR (Southern Network on Adverse Reactions) Program, University of South Carolina College of Pharmacy, Columbia, SC, 29208, USA.
  • Paul Ray
    SONAR (Southern Network on Adverse Reactions) Program, University of South Carolina College of Pharmacy, Columbia, SC, 29208, USA.
  • Kevin Knopf
    SONAR (Southern Network on Adverse Reactions) Program, University of South Carolina College of Pharmacy, Columbia, SC, 29208, USA.
  • Shamia Hoque
    SONAR (Southern Network on Adverse Reactions) Program, University of South Carolina College of Pharmacy, Columbia, SC, 29208, USA.
  • Matthew Taylor
    College of Medical and Dental Sciences, University of Birmingham, Birmingham, United Kingdom; Health Data Research UK, London, United Kingdom.
  • Charles L Bennett
    SONAR (Southern Network on Adverse Reactions) Program, University of South Carolina College of Pharmacy, Columbia, SC, 29208, USA. bennettc@cop.sc.edu.