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Multivariate analysis of public transport quality: a case study in a medium-sized Brazilian city
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MULTIVARIATE MULTILEVEL MODELLING TO ASSESS FACTORS AFFECTING THE QUALITY OF VOCATIONAL HIGH SCHOOLS IN SOUTH SULAWESI PROVINCE
Published 2022-12-01“…This study analyzes the quality of Vocational High Schools (VHS), which have a hierarchical data structure and have more than one response variable. …”
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An optimal multivariate-stratification geographical detector model for revealing the impact of multi-factor combinations on the dependent variable
Published 2024-12-01“…One common approach to analyzing SH involves comparing variances between and within strata to assess the impact of independent variables on the dependent variable. …”
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Statistical estimation of correlated genome associations to a quantitative trait network.
Published 2009-08-01“…While most of the traditional methods examined each phenotype independently and combined the results afterwards, our approach analyzes all of the traits jointly in a single statistical framework. …”
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Statistical assessment of agricultural fertilizer impacts on water quality and environmental sustainability
Published 2025-05-01“…Key parameters measured included pH, dissolved oxygen, nitrate, phosphate, turbidity, organic matter, and trace metals like iron and zinc. Statistical tools—such as regression analysis, correlation studies, and multivariate techniques—were used to assess the relationship between fertilizer use and water quality. …”
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Statistical assessment of agricultural fertilizer impacts on water quality and environmental sustainability
Published 2025-05-01“…Key parameters measured included pH, dissolved oxygen, nitrate, phosphate, turbidity, organic matter, and trace metals like iron and zinc. Statistical tools—such as regression analysis, correlation studies, and multivariate techniques—were used to assess the relationship between fertilizer use and water quality. …”
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Future Development of Raw Material Policy Based on Statistical Data Analysis
Published 2025-05-01“…The objective is to assess the European Union’s (EU) raw material policy by employing specific tools and statistical methodologies to analyze individual data. …”
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Analyzing the influence of COVID-19 epidemic on the employment intention of resident physicians in China
Published 2022-06-01“…Methodology: 409 questionnaires were statistically analyzed after removing the missing values. …”
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Review of guidance papers on regression modeling in statistical series of medical journals.
Published 2022-01-01“…This problem of knowledge transfer from statistical research to application was identified by some medical journals, which have published series of statistical tutorials and (shorter) papers mainly addressing medical researchers. …”
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Ultrasound-based statistical shape modeling for prognosis in unstable hip dysplasia
Published 2025-05-01“…Conclusions A potential new method of analyzing US images for DDH using SSM established four distinct acetabular shapes on neonatal US images with unstable DDH, of which two were associated with outcomes at five years of age. …”
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Drawing a Long Shadow: Analyzing Spatial Segregation of Afghan Immigrants in Tehran
Published 2024-11-01“…The required data for two-group segregation indices, Getis–Ord statistics, and Geographically Weighted Regression, were analyzed as a map using ArcMap and Geo-Segregation Analyzer. …”
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Aroma-Driven Differentiation of Wuyi Shuixian Tea Grades: The Pivotal Role of Linalool Revealed by OAV and Multivariate Analysis
Published 2025-06-01“…This study systematically analyzed the aroma characteristics and key fragrant compounds of four grades (Grand Prize SA, First Prize SB, Outstanding Award SC, and Non-award SD) using headspace solid-phase microextraction-gas chromatography-mass spectrometry (HS-SPME-GC-MS), odor activity value (OAV) analysis, and multivariate statistical methods. …”
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Geographic Information System and Multivariate Analysis Approach for Mapping Soil Contamination and Environmental Risk Assessment in Arid Regions
Published 2025-01-01“…This study utilizes GIS and multivariate analysis to evaluate HMs in agricultural soils from Al Ghat Governorate, Saudi Arabia, analyzing Al, As, Co, Cr, Cu, Fe, Mn, Ni, Pb, V, and Zn using ICP-AES in 35 soil samples. …”
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Risk factors associated with the failure of day surgery for total knee arthroplasty a multivariate logistic regression analysis
Published 2025-06-01“…Multivariate logistic regression analysis revealed that disease duration (P = 0.017), knee flexion range of motion (P < 0.001), glomerular filtration rate (P = 0.010), and surgery time (P = 0.020) were independent risk factors. …”
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To the Question of the Relevance of Statistics of Information and Communication Technologies in the Context of the Digital Transformation of the Economy
Published 2023-03-01“…As statistical tools, descriptive statistics indexes are used to describe particular indicators, one of the methods of multivariate statistical analysis for obtaining a classification according to a number of characteristics (cluster hierarchical analysis) and, finally, a method for calculating an integral index that can rank the units of the analyzed population formed according to the type of economic activities (18 units), simultaneously for all of its constituent indicators.Results. …”
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Contributions of Educational Investment to International Student Mobility: A Multivariate and Neutrosophic Analysis of Educational Service Quality in OECD Data
Published 2025-07-01“…This article examines the impact of educational investments in higher education on student international mobility from 39 OECD countries between 2013 and 2020 through multivariate statistical analyses and neutrosophic modeling of the SERVQUAL Neutrosophic Model. …”
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