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Interpretation of the odds ratio from logistic regression after a transformation of the covariate vector
Author(s) -
Elswick R. K.,
Schwartz Pamela F.,
Welsh Josephine A.
Publication year - 1997
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/(sici)1097-0258(19970815)16:15<1695::aid-sim601>3.0.co;2-v
Subject(s) - covariate , logistic regression , logit , statistics , odds , econometrics , transformation (genetics) , mathematics , interpretation (philosophy) , metric (unit) , computer science , economics , biochemistry , chemistry , operations management , gene , programming language
Logistic regression assumes a linear relationship between the logit and the continuous covariate. When the relationship is not linear, one can employ transformations of the covariate to satisfy the linearity assumption. We present an approach that allows interpretation of the odds ratio as it relates to the continuous covariate in its original metric. A numerical example illustrates the results. © 1997 John Wiley & Sons, Ltd.