Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/96452
Citations
Scopus Web of Science® Altmetric
?
?
Type: Journal article
Title: Understanding and checking the assumptions of linear regression: A primer for medical researchers
Author: Casson, R.
Farmer, L.
Citation: Clinical and Experimental Ophthalmology, 2014; 42(6):590-596
Publisher: Wiley-Blackwell
Issue Date: 2014
ISSN: 1442-6404
1442-9071
Statement of
Responsibility: 
Robert J Casson and Lachlan DM Farmer
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.
Keywords: Assumption; normality; regression; statistics.
Rights: © 2014 Royal Australian and New Zealand College of Ophthalmologists
RMID: 0030015253
DOI: 10.1111/ceo.12358
Appears in Collections:Medical Sciences publications

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.