Logistic Regression

Known as: Logistic Regressions, Regression, Logistic, Regressions, Logistic 
 
National Institutes of Health

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Highly Cited
2017
Highly Cited
2017
The logistic regression (LR) procedure for testing differential item functioning (DIF) typically depends on the asymptotic… (More)
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2016
2016
Logistic regression is one of the most commonly used models to account for confounders in medical literature. The article… (More)
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Highly Cited
2015
Highly Cited
2015
Penalization is a very general method of stabilizing or regularizing estimates, which has both frequentist and Bayesian… (More)
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2014
2014
Logistic regression is used to obtain odds ratio in the presence of more than one explanatory variable. The procedure is quite… (More)
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2012
2012
OBJECTIVE The classification of complex or rare patterns in clinical and genomic data requires the availability of a large… (More)
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Highly Cited
2008
Highly Cited
2008
We propose using a variant of logistic regression (LR) with (L)_(2)-regularization to fit gene-gene and gene-environment… (More)
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Highly Cited
2005
Highly Cited
2005
The detection of epileptiform discharges in the EEG is an important component in the diagnosis of epilepsy. In this study… (More)
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Highly Cited
1999
Highly Cited
1999
Logistic regression (LR), discriminant analysis (DA), and neural networks (NN) were used to predict ordered and disordered… (More)
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Highly Cited
1998
Highly Cited
1998
Understanding the mechanics of adaptive evolution requires not only knowing the quantitative genetic bases of the traits of… (More)
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1998
1998
Early and accurate diagnosis of myocardial infarction (MI) in patients who present to the Emergency Room (ER) complaining of… (More)
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