Logistic Regression Model and Model Selection for Estimating the Risk of Natural Disaster

FORMATH ◽

10.15684/formath.08.009 ◽

2009 ◽

Vol 8 (0) ◽

pp. 137-152

Author(s):

K. Kamo ◽

H. Yanagihara ◽

A. Kato ◽

A. Yoshimoto

Keyword(s):

Logistic Regression ◽

Model Selection ◽

Regression Model ◽

Natural Disaster ◽

Logistic Regression Model ◽

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Model selection and parameter estimation of a multinomial logistic regression model

Journal of Statistical Computation and Simulation ◽

10.1080/00949655.2012.746347 ◽

2012 ◽

Vol 84 (7) ◽

pp. 1412-1426 ◽

Author(s):

Shakhawat Hossain ◽

S. Ejaz Ahmed ◽

Hatem A. Howlader

Keyword(s):

Logistic Regression ◽

Parameter Estimation ◽

Model Selection ◽

Regression Model ◽

Logistic Regression Model ◽

Multinomial Logistic Regression ◽

Multinomial Logistic Regression Model

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Shrinkage estimation and selection for a logistic regression model

Perspectives on Big Data Analysis - Contemporary Mathematics ◽

10.1090/conm/622/12432 ◽

2014 ◽

pp. 159-176 ◽

Author(s):

Shakhawat Hossain ◽

S. Ahmed

Keyword(s):

Logistic Regression ◽

Regression Model ◽

Logistic Regression Model ◽

Shrinkage Estimation ◽

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Case Study in Binary Logistic Regression, Model Selection and Approximation: Predicting Cause of Death

Regression Modeling Strategies - Springer Series in Statistics ◽

10.1007/978-3-319-19425-7_11 ◽

2015 ◽

pp. 275-289 ◽

Author(s):

Frank E. Harrell

Keyword(s):

Logistic Regression ◽

Model Selection ◽

Regression Model ◽

Cause Of Death ◽

Logistic Regression Model ◽

Binary Logistic Regression ◽

Binary Logistic Regression Model

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MCMC impute missing values and Bayesian variable selection for logistic regression model to predict Pima Indian Diabetes

Journal of Physics Conference Series ◽

10.1088/1742-6596/1865/4/042087 ◽

2021 ◽

Vol 1865 (4) ◽

pp. 042087

Author(s):

Gongli Li ◽

Yueze Liu ◽

Han Li ◽

Ruikuan Yao ◽

Chenyang Li

Keyword(s):

Logistic Regression ◽

Variable Selection ◽

Regression Model ◽

Logistic Regression Model ◽

Missing Values ◽

Bayesian Variable Selection ◽

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Variable Selection for Logistic Regression Model Using Adjusted Coefficients of Determination

Korean Journal of Applied Statistics ◽

10.5351/kjas.2005.18.2.435 ◽

2005 ◽

Vol 18 (2) ◽

pp. 435-443 ◽

Keyword(s):

Logistic Regression ◽

Variable Selection ◽

Regression Model ◽

Logistic Regression Model ◽

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Using MCMC for Logistic Regression Model Selection Involving Large Number of Candidate Models

Monte Carlo and Quasi-Monte Carlo Methods 2000 ◽

10.1007/978-3-642-56046-0_32 ◽

2002 ◽

pp. 460-474 ◽

Author(s):

Guoqi Qian ◽

Chris Field

Keyword(s):

Logistic Regression ◽

Model Selection ◽

Regression Model ◽

Logistic Regression Model

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Independent predictors for functional outcome after drainage of chronic subdural hematoma identified using a logistic regression model

Journal of Neurosurgical Sciences ◽

10.23736/s0390-5616.17.04056-5 ◽

2020 ◽

Vol 64 (2) ◽

Author(s):

Sotirios Katsigiannis ◽

Christina Hamisch ◽

Boris Krischek ◽

Marco Timmer ◽

Anastasios Mpotsaris ◽

...

Keyword(s):

Logistic Regression ◽

Regression Model ◽

Functional Outcome ◽

Subdural Hematoma ◽

Logistic Regression Model ◽

Chronic Subdural Hematoma

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Survey on turnover intention of scientific and technological workers based on the binary logistic regression model—a case study of XPCC

Information Management and Management Engineering ◽

10.2495/imme140591 ◽

2014 ◽

Author(s):

Zhui Liu ◽

Honglu Gou ◽

Lingying Kong

Keyword(s):

Logistic Regression ◽

Regression Model ◽

Turnover Intention ◽

Logistic Regression Model ◽

Binary Logistic Regression ◽

Binary Logistic Regression Model

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The Effects of Major Stakeholders on SMME's Performance Turnaround -- Empirical Analysis Based on the Ordinal Logistic Regression Model

SSRN Electronic Journal ◽

10.2139/ssrn.2282214 ◽

2013 ◽

Author(s):

Li Qi

Keyword(s):

Logistic Regression ◽

Regression Model ◽

Empirical Analysis ◽

Logistic Regression Model ◽

Ordinal Logistic Regression ◽

Ordinal Logistic Regression Model

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Logistic Regression Model for Business Failures Prediction of Technology Industry in Thailand

SSRN Electronic Journal ◽

10.2139/ssrn.2932026 ◽

2012 ◽

Author(s):

Sittichai Puagwatana

Keyword(s):

Logistic Regression ◽

Regression Model ◽

Logistic Regression Model ◽

Technology Industry ◽

Business Failures

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