Difference between revisions of "Logistic regression"
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'''Logistic regression''' is a type of curve fitting. It used for discrete outcome variables, e.g. pass or fail. | '''Logistic regression''' is a type of curve fitting. It used for discrete outcome variables, e.g. pass or fail. | ||
If the dependent variable is categorical (e.g. '' | ==Special types of LR== | ||
===Multinomial LR=== | |||
If the dependent variable is categorical and the categories are mutually exclusive (e.g. ''benign'', ''suspicious'', ''malignant'', ''insufficient''), ''multinomial logistic regression'' is used. | |||
===Ordered LR=== | |||
If the dependent variable is categorical and ordered (e.g. ''Grade 1'', ''Grade 2'', ''Grade 3''), ''ordered logistic regrssion'' is used.<ref>Ordinal Logistic Regression | R Data Analysis Examples. UCLA. URL: [https://stats.idre.ucla.edu/r/dae/ordinal-logistic-regression/ https://stats.idre.ucla.edu/r/dae/ordinal-logistic-regression/]. Accessed on: March 24, 2018</ref> | |||
==GNU/Octave example== | ==GNU/Octave example== | ||
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*[[Mathematics]]. | *[[Mathematics]]. | ||
*[[Statistics]]. | *[[Statistics]]. | ||
==References== | |||
{{Reflist|1}} | |||
==External links== | ==External links== | ||