Results 31 to 40 of about 3,209,047 (297)
Length bias correction in gene ontology enrichment analysis using logistic regression. [PDF]
PLoS ONE, 2012 When assessing differential gene expression from RNA sequencing data, commonly used statistical tests tend to have greater power to detect differential expression of genes encoding longer transcripts. This phenomenon, called "length bias", will influence
Gu Mi +4 more
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Journal of experimental psychology. General, 2019 When the outcome is binary, psychologists often use nonlinear modeling strategies such as logit or probit. These strategies are often neither optimal nor justified when the objective is to estimate causal effects of experimental treatments.
Robin Gomila
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The logistic regression analysis of psychiatric data
Journal of Psychiatric Research, 1986 Logistic regression is presented as the statistical method of choice for analyzing the effects of independent variables on a binary dependent variable in terms of the probability of being in one of its two categories vs the other. The method, which must be applied by computer, is illustrated on data from the DSM-III field trials. The dependent variable
J L, Fleiss, J B, Williams, A F, Dubro
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Sichuan jingshen weisheng, 2022 The purpose of this paper was to introduce how to reasonably analyze the multiple Logistic regression models in combination with the multilevel model analysis.
Hu Chunyan, Hu Liangping
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Data security in digital accounting: A logistic regression analysis of risk factors
International journal of innovative research and scientific studiesThis study examines the impact of cybersecurity measures on preventing data breaches in Jordanian organizations using digital accounting systems. A logistic regression model analyzes survey data from 231 organizations to assess the effects of employee ...
A. Mohammad +4 more
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Analysis of development of local self-government units in Vojvodina [PDF]
Ekonomika Poljoprivrede (1979), 2020 Discriminant analysis and logistic regressions were applied in this research for the purpose of analyzing the development of autonomous province (AP) Vojvodina local self-government units, which are classified as developed and underdeveloped.
Tekić Dragana +3 more
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Model performance analysis and model validation in logistic regression
Statistica, 2007 In this paper a new model validation procedure for a logistic regression model is presented. At first, we illustrate a brief review of different techniques of model validation. Next, we define a number of properties required for a model to be considered "
Rosa Arboretti Giancristofaro +1 more
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The Log-gamma-logistic Regression Model: Estimation, Sensibility and Residual Analysis [PDF]
Journal of Statistical Theory and Applications (JSTA), 2017 In this paper, we formulate and develop a log-linear model using a new distribution called the log-gammalogistic. We show that the new regression model can be applied to censored data since it represents a parametric family of models that includes as sub-
Elizabeth M. Hashimoto +3 more
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Reasonably conduct the multiple Logistic regression analysis combined with the ROC curve analysis
Sichuan jingshen weisheng, 2022 The purpose of this paper was to introduce how to reasonably carry out the method of the multiple Logistic regression analysis by combining the ROC curve analysis. Firstly， it introduced two groups of the basic concepts related to the ROC curve analysis，
Hu Chunyan, Hu Liangping
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The proper application of logistic regression model in complex survey data: a systematic review
BMC Medical Research MethodologyLogistic regression is a useful statistical technique commonly used in many fields like healthcare, marketing, or finance to generate insights from binary outcomes (e.g., sick vs. not sick).
D. Dey +7 more
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