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

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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Veröffentlicht in:JAMA : the journal of the American Medical Association 2019-04, Vol.321 (13), p.1304-1305
Hauptverfasser: Norton, Edward C, Dowd, Bryan E, Maciejewski, Matthew L
Format: Artikel
Sprache:eng
Schlagworte:
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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Beschreibung
Zusammenfassung: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