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Logistic regression

Known as: Regression, Binary logit model, Conditional logistic regression 
In statistics, logistic regression, or logit regression, or logit model is a regression model where the dependent variable (DV) is categorical. This… Expand
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Papers overview

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Highly Cited
2008
Highly Cited
2008
The group lasso is an extension of the lasso to do variable selection on (predefined) groups of variables in linear regression… Expand
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Highly Cited
2007
Highly Cited
2007
Logistic regression analysis of high-dimensional data, such as natural language text, poses computational and statistical… Expand
Highly Cited
2003
Highly Cited
2003
Thank you very much for downloading logistic regression a self learning text. As you may know, people have search hundreds times… Expand
Highly Cited
2001
Highly Cited
2001
We study rare events data, binary dependent variables with dozens to thousands of times fewer ones (events, such as wars, vetoes… Expand
Highly Cited
2001
Highly Cited
2001
We compare discriminative and generative learning as typified by logistic regression and naive Bayes. We show, contrary to a… Expand
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Highly Cited
2000
Highly Cited
2000
The Logic of Logistic Regression Interpreting Logistic Regression Coefficients Estimation and Model Fit Probit Analysis… Expand
Highly Cited
1999
Highly Cited
1999
From the Publisher: If you are a researcher or student with experience in multiple linear regression and want to learn about… Expand
Highly Cited
1989
Highly Cited
1989
"A new edition of the definitive guide to logistic regression modeling for health science and other applicationsThis thoroughly… Expand
Highly Cited
1988
Highly Cited
1988
Abstract We discuss the use of standard logistic regression techniques to estimate hazard rates and survival curves from censored… Expand
Highly Cited
1978
Highly Cited
1978
Abstract Classifying an observation into one of several populations is discriminant analysis, or classification. Relating… Expand
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