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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."<ref>{{MeSH}}</ref><ref name="isbn0-07-141017-1">{{cite book |author=Trapp, Robert; Beth Dawson |authorlink= |editor= |others= |title=Basic & clinical biostatistics |chapter=Chapter 10. Statistical Methods for Multiple Variables|chapterurl=http://www.accessmedicine.com/content.aspx?aID=2048525|edition= |language= |publisher=Lange Medical Books/McGraw-Hill |location=New York |year=2004 |origyear= |pages= |quote= |isbn=0-07-141017-1 |oclc= |doi= |url=http://www.accessmedicine.com/resourceTOC.aspx?resourceID=62 |accessdate=|id={{LCC|QH323.5 .D38}}{{LCCN|2005|283|263}}}}</ref>
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."<ref>{{MeSH}}</ref><ref name="isbn0-07-141017-1">{{cite book |author=Trapp, Robert; Beth Dawson |authorlink= |editor= |others= |title=Basic & clinical biostatistics |chapter=Chapter 10. Statistical Methods for Multiple Variables|chapterurl=http://www.accessmedicine.com/content.aspx?aID=2048525|edition= |language= |publisher=Lange Medical Books/McGraw-Hill |location=New York |year=2004 |origyear= |pages= |quote= |isbn=0-07-141017-1 |oclc= |doi= |url=http://www.accessmedicine.com/resourceTOC.aspx?resourceID=62 |accessdate=|id={{LCC|QH323.5 .D38}}{{LCCN|2005|283|263}}}}</ref>



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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]

References

  1. Anonymous (2024), Logistic regression (English). Medical Subject Headings. U.S. National Library of Medicine.
  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 .D38LCCN 2005-263. ISBN 0-07-141017-1.  Cite error: Invalid <ref> tag; name "isbn0-07-141017-1" defined multiple times with different content