Understanding and checking the assumptions of linear regression: A primer for medical researchers
Date
2014
Authors
Casson, R.J.
Farmer, L.D.M.
Editors
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Journal article
Citation
Clinical and Experimental Ophthalmology, 2014; 42(6):590-596
Statement of Responsibility
Robert J Casson and Lachlan DM Farmer
Conference Name
Abstract
Linear regression (LR) is a powerful statistical model when used correctly. Because the model is an approximation of the long-term sequence of any event, it requires assumptions to be made about the data it represents in order to remain appropriate. However, these assumptions are often misunderstood. We present the basic assumptions used in the LR model and offer a simple methodology for checking if they are satisfied prior to its use. In doing so, we aim to increase the effectiveness and appropriateness of LR in clinical research.
School/Discipline
Dissertation Note
Provenance
Description
Access Status
Rights
© 2014 Royal Australian and New Zealand College of Ophthalmologists