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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… 
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AdaBoostApache SparkBackpropagationBinary data

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2013
2013
Prevalence of abuse and intimate partner violence surgical evaluation (PRAISE) in orthopaedic fracture clinics: a multinational prevalence study.
Review
2012
Review
2012
Factors Influencing Cooperative Membership and Share Increment: An Application of the Logistic Regression Analysis in the Malaysian Cooperatives
This study investigates factors that influence cooperative membership and their share capital increment using the binary logistic… 
2012
2012
Stochastic simulation of rainfall in the semi‐arid Limpopo basin, Botswana
The application of spatial‐temporal stochastic rainfall models to semi‐arid or arid areas is expected to be particularly… 
Highly Cited
2006
Highly Cited
2006
Neural network and GA approaches for dwelling fire occurrence prediction
Highly Cited
2005
Highly Cited
2005
Estimation of consumer preferences on new telecommunications services: IMT-2000 service in Korea
2000
2000
Determinants of bank growth choice
Review
1999
Review
1999
Seroprevalence of antibodies to Sarcocystis neurona in horses residing in northern Colorado
Highly Cited
1995
Highly Cited
1995
Bayesian Learning for Neural Networks
Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions… 
Highly Cited
1992
Highly Cited
1992
A Logistic Model for Time-Limit Tests
The purpose of the present chapter is to introduce a psychometric model for time-limit tests. Our point of departure is a… 
1991
1991
Discretized Laplacian Smoothing by Fourier Methods
Abstract An approach to multidimensional smoothing is introduced that is based on a penalized likelihood with a modified… 
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