Pavement Distress Initiation Prediction by Time-Lag Analysis and Logistic Regression
Applied Sciences, 2022 Pavement condition prediction plays a vital role in pavement maintenance. Many prediction models and analyses have been conducted based on long-term pavement condition data.
Hao Liu +4 more
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Analysis of student achievements using ordered logistic regression
Lietuvos Matematikos Rinkinys, 2010 In the paper the problem of assessment of mathematical abilities is addressed. It is assumed that student’s grade in the mathematical analysis is one of the main indices of mathematical abilities which gives rather reliable guess of his further academic ...
Gediminas Murauskas +1 more
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Landslide Susceptibility Analysis: A Logistic Regression Model Case Study in Coonoor, India
, 2021 Landslides are a common geologic hazard that disrupts the social and economic balance of the affected society. Therefore, identifying zones prone to landslides is necessary for safe living and the minimal disruption of economic activities in the event of
E. Sujatha, V. Sridhar
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Multiple Logistic Regression Analysis of Smartphone Use in University Students
Frontiers in Psychology, 2022 Problematic smartphone use (PSU) is an expanded public health heed that requires more study to clarify the influence elements of different populations.
Chen-Shen Chao +3 more
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Landslide susceptibility mapping using logistic regression analysis in Latyan catchment [PDF]
Desert, 2017 Every year, hundreds of people all over the world lose their lives due to landslides. Landslide susceptibility map describes the likelihood or possibility of new landslides occurring in an area, and therefore helping to reduce future potential damages ...
A. Kouhpeima +3 more
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Errors in the use of Multivariable Logistic Regression Analysis: An Empirical Analysis
Indian Journal of Community Medicine, 2020 The issue (October 2019–December 2019) of the Indian Journal of Community Medicine published 17 original articles, and of these, five studies applied the multivariable logistic regression (MLR), and one study applied the multinomial logistic regression ...
R. Malhotra
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Using the Logistic Regression in Analysis of Results from Statistical Observations
Статистика України, 2021 The article is focused on investigating the problems arising in the statistical analysis with use of logistic models of the ordered multiple choice, which are constructed by the results of statistical observations involving the existence of a categorical
L. A. Soshnikova
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Intermediate and advanced topics in multilevel logistic regression analysis
Statistics in Medicine, 2017 Multilevel data occur frequently in health services, population and public health, and epidemiologic research. In such research, binary outcomes are common.
P. Austin, J. Merlo
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Logistic regression analysis with standardized markers
The Annals of Applied Statistics, 2013 Two different approaches to analysis of data from diagnostic biomarker studies are commonly employed. Logistic regression is used to fit models for probability of disease given marker values, while ROC curves and risk distributions are used to evaluate classification performance.
Huang, Ying +2 more
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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
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