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Updated: Aug 23, 2025

Basics of Multivariate Analysis in Neuroimaging Data
Published on: July 24, 2010
Multivariable regression: understanding one of medicine's most fundamental statistical tools
Nathan H Varady1, Ayoosh Pareek2,3, Christina M Eckhardt4
1Sports Medicine and Shoulder Service, Hospital for Special Surgery, New York, NY, USA.
Abstract:
Multivariable regression is a fundamental tool that drives observational research in orthopaedic surgery. However, regression analyses are not always implemented correctly. This study presents a basic overview of regression analyses and reviews frequent points of confusion. Topics include linear, logistic, and time-to-event regressions, causal inference, confounders, overfitting, missing data, multicollinearity, interactions, and key differences between multivariable versus multivariate regression. The goal is to provide clarity regarding the use and interpretation of multivariable analyses for those attempting to increase their statistical literacy in orthopaedic research.
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