ReLogit: Rare Events Logistic Regression

We study rare events data, binary dependent variables with dozens to thousands of times fewer ones (events, such as wars, vetoes, cases of political activism, or epidemiological infections) than zeros ("nonevents"). In many literatures, these variables have proven difficult to explain and...

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Bibliographic Details
Main Authors: Michael Tomz, Gary King, Langche Zeng
Format: Article
Language:English
Published: Foundation for Open Access Statistics 2003-01-01
Series:Journal of Statistical Software
Online Access:http://www.jstatsoft.org/index.php/jss/article/view/2300