Logistic regression

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In statistics and epidemiology, logistic regression is a method of multivariable regression analysis which "describe the relationship between a qualitative dependent variable (that is, one which can take only certain discrete values, such as the presence or absence of a disease) and an independent variable. A common application is in epidemiology for estimating an individual's risk (probability of a disease) as a function of a given risk factor."^[1]^[2]

A regression coefficient can be converted into odds ratios or relative risks by:^[2]

${\mbox{odds ratio}}=e^{\beta }{\mbox{, where }}\beta {\mbox{ is a regression coefficient}}.\,\!$

References[edit]

↑ Anonymous (2024), Logistic regression (English). Medical Subject Headings. U.S. National Library of Medicine.
↑ ^2.0 ^2.1 Trapp, Robert; Beth Dawson (2004). “Chapter 10. Statistical Methods for Multiple Variables”, Basic & clinical biostatistics. New York: Lange Medical Books/McGraw-Hill. LCC QH323.5 .D38 LCCN 2005-263. ISBN 0-07-141017-1.

[1] Anonymous (2024), Logistic regression (English). Medical Subject Headings. U.S. National Library of Medicine.

[isbn0-07-141017-1-2] 2.0 ^2.1 Trapp, Robert; Beth Dawson (2004). “Chapter 10. Statistical Methods for Multiple Variables”, Basic & clinical biostatistics. New York: Lange Medical Books/McGraw-Hill. LCC QH323.5 .D38 LCCN 2005-263. ISBN 0-07-141017-1.

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