Logistic Regression in Rare Events Data
نویسندگان
چکیده
منابع مشابه
Logistic Regression in Rare Events Data 1
Rare events are 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, rare events have proven di cult to explain and predict, a problem that seems to have at least two sources. First, popular statistical procedures, such as logistic regressi...
متن کاملLogistic Regression in Rare Events Data
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 predict, a problem that seems to have at least two sources. First, popular statistical procedures, such as ...
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Objectives: The quantitative analysis of extremely rare events and factors in uencing these events poses some di culties. The objective of my paper is to evaluate logistic regression for events millions times more rare than non-events. Methods: Based on former theoretical and experimental results a simulation study is conducted. A specialized software is developed and supplied with this paper. ...
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Recent developments in computing and technology, along with the availability of large amounts of raw data, have contributed to the creation of many effective techniques and algorithms in the fields of pattern recognition and machine learning. The main objectives for developing these algorithms include identifying patterns within the available data or making predictions, or both. Great success h...
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Latest developments in computing and technology, along with the availability of large amounts of raw data, have led to the development of many computational techniques and algorithms. Concerning binary data classification in particular, analysis of data containing rare events or disproportionate class distributions poses a great challenge to industry and to the machine learning community. Logis...
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ژورنال
عنوان ژورنال: Political Analysis
سال: 2001
ISSN: 1047-1987,1476-4989
DOI: 10.1093/oxfordjournals.pan.a004868