Multivariable regression: understanding one of medicine's most fundamental statistical tools. Review uri icon

Overview

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.

publication date

  • November 3, 2022

Research

keywords

  • Orthopedic Procedures

Identity

Scopus Document Identifier

  • 85141049301

Digital Object Identifier (DOI)

  • 10.1007/s00167-022-07215-9

PubMed ID

  • 36323796

Additional Document Info

volume

  • 31

issue

  • 1