Results 31 to 40 of about 1,754,722 (270)

Model performance analysis and model validation in logistic regression

open access: yesStatistica, 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
doaj   +1 more source

Length bias correction in gene ontology enrichment analysis using logistic regression. [PDF]

open access: yesPLoS 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
doaj   +1 more source

Dietary Intake and Asthma in Preschoolers: A Logistic Lasso Regression Analysis

open access: yesFrontiers 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
doaj   +1 more source

London measure of Unplanned Pregnancy: guidance for its use as an outcome measure [PDF]

open access: yes, 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
core   +1 more source

Logistic regression: A simple primer

open access: yesCancer 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
doaj   +1 more source

Text Analysis Using Logistic Regression

open access: yes, 2023
Abstract— Text analysis is the evaluation and categorization of a person's feelings and beliefs based on the text being studied. Text classification and machine learning are essential for sentiment analysis. That implies that we can infer or categorise people's opinions from their comments.
Jyothimol M.A, Joseph, Grace
openaire   +1 more source

Socio-Demographic Determinants of Women’s Entrepreneurship: A Binary Logistic Regression Analysis [PDF]

open access: yesBusiness Ethics and Leadership
Women’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
doaj   +1 more source

Multinomial Inverse Regression for Text Analysis [PDF]

open access: yes, 2013
Text data, including speeches, stories, and other document forms, are often connected to sentiment variables that are of interest for research in marketing, economics, and elsewhere.
Taddy, Matt
core   +1 more source

Lifestyle Behaviors and Cardiotoxic Treatment Risks in Adult Childhood Cancer Survivors

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Higher doses of anthracyclines and heart‐relevant radiotherapy increase cardiovascular disease (CVD) risk. This study assessed CVD and CVD risk factors among adult childhood cancer survivors (CCSs) across cardiotoxic treatment risk groups and examined associations between lifestyle behaviors and treatment risks.
Ruijie Li   +6 more
wiley   +1 more source

Text Sentiment Analysis Based on Hybrid Chi-square Statistic and Logistic Regression [PDF]

open access: yesJisuanji gongcheng, 2017
In text sentiment analysis,feature extraction method based on Chi-square statistic (CHI) is easy to ignore single text word frequency which leads to text feature accuary is low,a feature extraction method based on hybrid chi-square statistics is proposed.
LI Ping,DAI Yueming,WANG Yan
doaj   +1 more source

Home - About - Disclaimer - Privacy