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Logistic regression analysis of risk factors for Respiratory Distress Syndrome in Late Preterm Infants. [PDF]
Zhu H +5 more
europepmc +1 more source
Evaluation and analysis of risk factors for fractured vertebral recompression post-percutaneous kyphoplasty: a retrospective cohort study based on logistic regression analysis. [PDF]
Zhao Y +7 more
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Determinants of healthcare decision-making autonomy among Bangladeshi women: mixed-effect logistic regression analysis. [PDF]
Mustafiz RB +4 more
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Data Science Revealed, 2021
This chapter covers the logistic regression concept and implementation in a structured way. Preceding chapters introduced supervised learning and concentrated on the parametric method. In supervised learning, we present a model with a set of correct answers, and we then allow a model to predict unseen data.
Tshepo Chris Nokeri
openaire +2 more sources
This chapter covers the logistic regression concept and implementation in a structured way. Preceding chapters introduced supervised learning and concentrated on the parametric method. In supervised learning, we present a model with a set of correct answers, and we then allow a model to predict unseen data.
Tshepo Chris Nokeri
openaire +2 more sources
Advanced Statistics for Testing Assumed Casual Relationships, 2020
This chapter describes the logistic regression. It is a powerful statistical technique for examining the assumed causal relationships between a set of independent variables on the probability of occurrence of an event which is one category of a binary dependent variable. Here, the effects of the variables are presented through odds, which are the ratio
H. Nayebi
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This chapter describes the logistic regression. It is a powerful statistical technique for examining the assumed causal relationships between a set of independent variables on the probability of occurrence of an event which is one category of a binary dependent variable. Here, the effects of the variables are presented through odds, which are the ratio
H. Nayebi
openaire +2 more sources
Logistic regression in data analysis: an overview
International Journal of Data Analysis Techniques and Strategies, 2011Logistic regression (LR) continues to be one of the most widely used methods in data mining in general and binary data classification in particular. This paper is focused on providing an overview of the most important aspects of LR when used in data analysis, specifically from an algorithmic and machine learning perspective and how LR can be applied to
Maher Maalouf
exaly +2 more sources
Applied Logistic Regression Analysis
Technometrics, 1996Eric R. Ziegel, Scott Menard
semanticscholar +4 more sources
An Introduction to Logistic Regression Analysis and Reporting
Journal of Educational Research, 2002C. Y. Peng, K. Lee, G. Ingersoll
exaly +2 more sources

