Logistic regression
Jump to navigation
Jump to search
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]
References
- ↑ 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 .D38LCCN 2005-263. ISBN 0-07-141017-1. Cite error: Invalid
<ref>
tag; name "isbn0-07-141017-1" defined multiple times with different content