Marginal Effects—Quantifying the Effect of Changes in Risk Factors in Logistic Regression Models

This JAMA Guide to Statistics and Methods discusses the marginal effects approach to express the strength of the association between a risk factor and a binary outcome from a logistic regression.

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Bibliographic Details
Published in:JAMA : the journal of the American Medical Association 2019-04, Vol.321 (13), p.1304-1305
Main Authors: Norton, Edward C, Dowd, Bryan E, Maciejewski, Matthew L
Format: Article
Language:English
Subjects:
Geography
Health Care Reform
Health risk assessment
Logistic Models
Medicaid
Mental Health
Regression analysis
Regression models
Risk analysis
Risk Factors
Statistical analysis
Statistical methods
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Description
Summary:This JAMA Guide to Statistics and Methods discusses the marginal effects approach to express the strength of the association between a risk factor and a binary outcome from a logistic regression.
ISSN:0098-7484
1538-3598
DOI:10.1001/jama.2019.1954