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Points of Significance: Logistic regression

Points of Significance: Logistic regression

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_1800513568

Points of Significance: Logistic regression

About this item

Full title

Points of Significance: Logistic regression

Publisher

New York: Nature Publishing Group

Journal title

Nature methods, 2016-07, Vol.13 (7), p.541

Language

English

Formats

Publication information

Publisher

New York: Nature Publishing Group

More information

Scope and Contents

Contents

In recent columns we showed how linear regression can be used to predict a continuous dependent variable given other independent variables1,2. When the dependent variable is categorical, a common approach is to use logistic regression, a method that takes its name from the type of curve it uses to fit data. Categorical variables are commonly used i...

Alternative Titles

Full title

Points of Significance: Logistic regression

Authors, Artists and Contributors

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Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_1800513568

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_1800513568

Other Identifiers

ISSN

1548-7091

E-ISSN

1548-7105

DOI

10.1038/nmeth.3904

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