Common pitfalls in statistical analysis: Logistic regression

Priya Ranganathan; C S Pramesh; Rakesh Aggarwal

doi:10.4103/picr.PICR_87_17

Common pitfalls in statistical analysis: Logistic regression

Perspect Clin Res. 2017 Jul-Sep;8(3):148-151. doi: 10.4103/picr.PICR_87_17.

Authors

Priya Ranganathan¹, C S Pramesh², Rakesh Aggarwal³

Affiliations

¹ Department of Anaesthesiology, Tata Memorial Centre, Mumbai, Maharashtra, India.
² Department of Surgical Oncology, Tata Memorial Centre, Mumbai, Maharashtra, India.
³ Department of Gastroenterology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India.

Abstract

Logistic regression analysis is a statistical technique to evaluate the relationship between various predictor variables (either categorical or continuous) and an outcome which is binary (dichotomous). In this article, we discuss logistic regression analysis and the limitations of this technique.

Keywords: Biostatistics; logistic models; regression analysis.