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References in periodicals archive ?
Multivariate logistic regression showed depression was significantly associated with cheek-biting (p<0.05).
In the article titled "Assessment of 105 Patients with Angiotensin Converting Enzyme-Inhibitor Induced Angioedema" [1], there was an error in the Results section where the text reading "In multivariate logistic regression analysis, angioedema located in the head and neck region was nonsignificantly associated with admission (odds ratio (OR) 5.9 (p = 0.15,95% CI 0.53-98.49)), while angioedema in peripheral sites was significantly associated with not being admitted (OR 0.15 (p = 0.05 95% CI, 0.01-0.95) (Table 6))" should be corrected as follows.
Logistic regression: A statistical method for analyzing a dataset with one or more independent variables that determine a binary outcome.
CHAID (Chi-Square Automatic Interaction Detector) analysis correctly classified 99.2% of surviving lambs and 12.4% of dying lambs, while 100% of surviving lambs and no dying lambs were correctly classified by logistic regression analysis.
Various indicators depicting the qualities of teachers such as communication skills; punctuality; regularity; reading and writing skills; Information Technology skills; coordination; methodologies used for teaching purpose (audio-visual aids, lesson planning and use of computer/internet) were found significant in teachers of various public and private schools using logistic regression model.
Other topics are significance tests, linear regression models, the analysis of variance, categorical data analysis, the logistic regression model, the Poisson regression model, survival analysis, and the analysis of correlated data.
Three main methods have been used for binary classification such as support vector machines, neural networks, and logistic regression, each with its own advantages and disadvantages [8].
Logistic regression was performed to verify the result of Spearman correlation test.
The prime aim of study was to investigative classification performance of discriminant analysis (DA), artificial neural networks (ANNs) and logistic regression (LR) methods, while they were applied on data of more private academies established or not.
The purpose of this report was to explicate the use of logistic regression and classification and regression tree (CART) analysis in the development of early warning systems.
Calculus of Thought: Neuromorphic Logistic Regression in Cognitive Machines
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