Ophthalmic statistics note 11

Logistic regression

John Stephenson, Catey Bunce, Caroline J. Doré, Nick Freemantle

Research output: Contribution to journalArticle

Abstract

Previous notes in this series have been concerned with the common situation in ophthalmic and other clinical fields of describing relationships between one or more ‘predictors’ (explanatory variables) and, usually, one outcome measure (response variable). A classic method used in deriving relationships between outcomes and predictors is linear regression analysis. Linear regression is a member of a family of techniques known as general linear models, which also include analysis of variance and analysis of covariance; the latter of which was covered in a previous Ophthalmic Statistics Note
Original languageEnglish
Pages (from-to)1594-1595
Number of pages2
JournalBritish Journal of Ophthalmology
Volume100
Issue number12
Early online date22 Nov 2016
DOIs
Publication statusPublished - 1 Dec 2016

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Linear Models
Logistic Models
Analysis of Variance
Regression Analysis
Outcome Assessment (Health Care)

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Stephenson, John ; Bunce, Catey ; Doré, Caroline J. ; Freemantle, Nick. / Ophthalmic statistics note 11 : Logistic regression. In: British Journal of Ophthalmology. 2016 ; Vol. 100, No. 12. pp. 1594-1595.
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Ophthalmic statistics note 11 : Logistic regression. / Stephenson, John; Bunce, Catey; Doré, Caroline J.; Freemantle, Nick.

In: British Journal of Ophthalmology, Vol. 100, No. 12, 01.12.2016, p. 1594-1595.

Research output: Contribution to journalArticle

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