Results 31 to 40 of about 1,760,564 (191)

Analysis of comparable academic performance: panel logistic regression model

Lietuvos Matematikos Rinkinys, 2010
Conditional logistic regression model is fitted to data of student academic performance. This enables one to compare difficulties of different examinations and to identify related factors.
Marijus Radavičius, Pavel Samusenko
doaj   +1 more source

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, Chengliang Pan, Shijie Guo, Hui Wu   +3 more
doaj   +1 more source

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, Yanming Di, Sarah Emerson, Jason S Cumbie, Jeff H Chang   +4 more
doaj   +1 more source

Multinomial Inverse Regression for Text Analysis [PDF]

, 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

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
doaj   +1 more source

Text Analysis Using Logistic Regression

, 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]

Business 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, Amina Badreddine, Azzeddine Sabri   +2 more
doaj   +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, Copas, A, Hall, JA, Stephenson, JM   +3 more
core   +1 more source

Word2Vec on Sentiment Analysis with Synthetic Minority Oversampling Technique and Boosting Algorithm

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2022
Customer opinion is an important aspect in determining the success of a company or service provider. By determining the sentiment of the existing opinion, the company can use it as an evaluation material to improve the quality of the service or product ...
Rayhan Rahmanda, Erwin Budi Setiawan
doaj   +1 more source

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

Jisuanji 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