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Mini-Masters: Linear Regression

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January 4, 2024

Mini-Masters: Linear Regression

Vol: 7| Issue: 1| Number:1| ISSN#: 2563-559X

Authored By: Sushmitha Pallapothu, Alex Thabane and Mohit Bhandari on Behalf of OrthoEvidence

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Highlights
  • Linear regression is a simple but powerful statistical model that allows for the description and quantification of the relationship between a continuous dependent variable and one or more independent variables.
  • It is important that the assumptions of the model, such as homoscedasticity, linearity, and non-collinearity, are met to ensure that the results of the analysis are accurate.
  • Linear regression has been used in several orthopaedic studies to identify factors associated with prosthesis alignment in arthroplasty, the effect of physical therapy on costs, and factors that can predict quality of life.
  • We propose a step-by-step guide to help you decide when to perform a linear regression analysis, and how to approach it.
Whether you are a research scientist planning the analyses for your clinical trial, or an experienced orthopaedic surgeon looking to understand the latest research to inform your practice, an understanding of statistical methods is essential. One of the most common statistical methods used in clinical research is the linear regression. Linear regression can...

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