Logistic regression against a divergent Bayesian network

Logistic regression against a divergent Bayesian network

This article is a discussion about two statistical tools used for prediction and causality assessment: logistic regression and Bayesian networks. Using data of a simulated example from a study assessing factors that might predict pulmonary emphysema (where fingertip pigmentation and smoking are cons...

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Bibliographic Details
Main Author: Noel Antonio Sánchez Trujillo
Format: Article
Language:English
Published: Medwave Estudios Limitada 2015-01-01
Series:Medwave
Subjects:
Bayes theorem
logistic regression
causality
Bayesian prediction
confounding variables
epidemiologic effect modifiers
diagnostic tests
decision making
Online Access:http://www.medwave.cl/link.cgi/Medwave/Series/TyC-Estadistica/6075

Internet

http://www.medwave.cl/link.cgi/Medwave/Series/TyC-Estadistica/6075

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