Logistic regression.

By S. Debanne, D. Rowland. Gastrointestinal Endoscopy, 2002

2,460 citations recorded by the source corpus.

Subfields: Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/37c0bf67a2f7177761ab9bb2e85656505660f6d8

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In Management Science and Operations Research

Citations in the corpus

Completing 3D object shape from one depth image (2015, positive): “We train a boosted decision tree (20 trees, 4 nodes per tree) based on LogitBoost [6] to predict which voxels are occupied.”
Principles and practical application of the receiver-operating characteristic analysis for diagnostic tests. (2000, methodology): “…in the target population and the cost ratio (see Section 3.2), respectively, we solve [(1ÿP)/P]CR exp[b(Xÿx0)] for X and obtain, consistent with Anderson (1982), a cut-off value for which LR(X) S as X [logit(P0)ÿlogit(P) ln(CR)ÿa]/b. Choi (1998) shows that the LR of a positive (LR Se/(1ÿSp))…”
Investigation of Dimensions of Social-Emotional Classroom Behavior and School Readiness for Low-Income Urban Preschool Children (2007, positive): “Multiple logistic regression was chosen because it is suitable for examination of a dichotomous outcome and yields odds ratios (Wright, 1995).”
Accelerated Distributed Nesterov Gradient Descent (2017, positive): “Case II: The functions f i are the loss functions for logistic regression [1], i.e. f i ( x ) = 1 M i M i m =1 ln(1 + e u im ,x ) − v im (cid:104) u im , x (cid:105) where u im ∈ R N ( N = 3) are the features and v im ∈ { 0 , 1 } are the observed labels, and { ( u im , v im ) } M i m =1 are M i =…”
A hybrid deep transfer learning model with machine learning methods for face mask detection in the era of the COVID-19 pandemic (2020, positive): “The used Ensemble methods are K-Nearest Neighbors Algorithm (k-NN) [28], Linear Regression [29] and Logistic Regression [30].”
Boosting with early stopping: Convergence and consistency (2005, neutral): “Previous analyses, including matching pursuit for least squares [29], Breiman’s analysis [9] of the exponential loss, as well as the Bregman divergence bound in [12] and the analysis of gradient boosting in [31], were all limiting results without any information on the numerical speed of convergence”
Tourism students’ entrepreneurial intentions (2010, positive): “Eight items are designed to measure personal circumstances and demographics that predispose individuals to act entrepreneurially and two are designed to measure entrepreneurial intention (Gasse, 1985; Hirsrich, 1986). All these items are measured using a nominal scale with yes/no response with the e”
The Use of Reading and Behavior Screening Measures to Predict Nonresponse to School-Wide Positive Behavior Support: A Longitudinal Analysis (2006, neutral): “Third, the results of logistic regression analyses are useful because they provide both tests of significance for predictor variables and odds ratios indicating the functional relationship between predictor and outcome (Wright, 1995).”
Recent changes in the function and frequency of Standard English genitive constructions: a multivariate analysis of tagged corpora (2007, positive): “6 Multivariate analysis We will now use binary logistic regression (see Pampel 2000 for an introduction) to quantify the combined contribution of all the conditioning factors discussed so far.”
Logistic regression in the medical literature: standards for use and reporting, with particular attention to one medical domain. (2001, methodology): “Logistic regression (LR) is a multivariable method that was devised for dichotomous outcomes [1] [2] [3] [4].”
Incremental Majorization-Minimization Optimization with Application to Large-Scale Machine Learning (2014, positive): “This is the case of many gradient-based or proximal methods [3, 14, 28, 45, 54], expectation-maximization (EM) algorithms in statistics [20, 42], difference-of-convex (DC) programming [30], boosting [13, 19], some variational Bayes techniques used in machine learning [53], and the mean-shift algorit”
Patriarchal Beliefs and Perceptions of Abuse among South Asian Immigrant Women (2004, neutral): “In our analysis, there were 15 participants per predictor variable, which is more than 10 participants per predictor as suggested by Norman and Streiner (2000).”
Recovering Surface Layout from an Image (2007, neutral): “In this paper, we use boosted decision trees for each classifier, using the logistic regression version of Adaboost [8, 14].”
Analyzing Cross-Sectionally Clustered Data Using Generalized Estimating Equations (2021, positive): “R(a) is used to describe how the outcome variable within a cluster is thought to be related with each other (Kleinbaum & Klein, 2010).3 Researchers only provide a guess as to the type or form of working correlation matrix, and the actual correlations are estimated from the data (i.e., the software…”