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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
Statement of
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

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