Results 31 to 40 of about 1,790,008 (339)
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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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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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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Dietary Intake and Asthma in Preschoolers: A Logistic Lasso Regression Analysis
Frontiers in Pediatrics, 2022 BackgroundAsthma is a common chronic disease among children, especially preschoolers. Some evidence suggests that diet may play a role in asthma, but the current findings are contradictory.
Yangming Qu +3 more
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Bayesian analysis of logistic regression with an unknown change point [PDF]
, 1999 We discuss Bayesian estimation of a logistic regression model with an unknown threshold limiting value (TLV). In these models it is assumed that there is no effect of a covariate on the response under a certain unknown TLV.
Gössl, Christoff, Küchenhoff, Helmut
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Logistic regression: A simple primer
Cancer Research, Statistics, and Treatment, 2021 Logistic regression is used to obtain the odds ratio in the presence of more than one explanatory variable. This procedure is quite similar to multiple linear regression, with the only exception that the response variable is binomial.
Ankita Pal
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Socio-Demographic Determinants of Women’s Entrepreneurship: A Binary Logistic Regression Analysis [PDF]
Business Ethics and LeadershipWomen’s entrepreneurship represents a critical economic driver for developing nations like Algeria, with significant potential to transform socioeconomic landscapes despite persistent barriers limiting female participation in business activities.
Hadjira Larbi Cherif +2 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction Pulmonary dysfunction and sleep abnormalities are common in children with sickle cell disease (SCD) and are associated with worse clinical outcomes. Whether spirometry abnormalities are associated with polysomnography (PSG) findings remains unclear.
Ammar Saadoon Alishlash +4 more
wiley +1 more source
London measure of Unplanned Pregnancy: guidance for its use as an outcome measure [PDF]
, 2017 Background: The London Measure of Unplanned Pregnancy (LMUP) is a psychometrically validated measure of the degree of intention of a current or recent pregnancy.
Barrett, G +3 more
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Inpatient Food Insecurity and Pediatric Hematology Oncology Hospitalization Outcomes
Pediatric Blood &Cancer, EarlyView.ABSTRACT Children with cancer and blood disorders are at risk for food insecurity (FI). We aimed to describe the association of inpatient food insecurity (IFI) and hospitalization outcomes among patients admitted to the pediatric hematology oncology service. Of 325 caregivers screened for IFI, 60 (18.6%) screened positive.
Joanna M. Robles +4 more
wiley +1 more source