Assessment of Metallic Content, Pollution, and Sources of Road Dust in the City of Białystok (Poland) by Mirosław Skorbiłowicz, Elżbieta Skorbiłowicz, Wojciech Łapiński

“…We mapped the metallic concentrations in the samples to evaluate the spatial distribution of these elements and identified proximity to main road junctions with high traffic as a major factor. Multivariate statistical analysis (Pearson correlation, cluster analysis, and analysis of major components) revealed an association between vehicle operation, and Zn, Ni, Cu, and Cr, as these elements were found in the most traffic-congested areas. …”
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The Smoothing Artifact of Spatially Constrained Canonical Correlation Analysis in Functional MRI by Dietmar Cordes, Mingwu Jin, Tim Curran, Rajesh Nandy

“…A wide range of studies show the capacity of multivariate statistical methods for fMRI to improve mapping of brain activations in a noisy environment. …”
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Serial Analysis of Ten Precipitation-Based Indices by Land Use in Semiarid Regions by Victor M. Rodríguez-Moreno, J. Ariel Ruíz-Corral, J. Saúl Padilla-Ramírez, Alfonso Peña-Ramos, Thomas G. Kretzschmar

“…The semiarid region of Mesa Central was characterized using ten precipitation-based indices. Using multivariate statistical and geostatistical spatial analysis techniques, the influence of those indices on five land use strata was explored. …”
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Response of Extreme Hydrological Events to Climate Change in the Water Source Area for the Middle Route of South-to-North Water Diversion Project by Wei Yang, Liping Zhang, Lijie Shan, Xinchi Chen, Shaodan Chen

“…We concluded that, compared with the traditional univariate approach, multivariate statistical analysis produced flood estimates that were more physically based and statistically sound and carried lower risk for flood design purposes.…”
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Metabolomics Approach for Discrimination and Quality Control of Natural and Commercial Fallopia multiflora Products in Vietnam by Nguyen Thi Thoa, Nguyen Hai Dang, Do Hoang Giang, Nguyen Thi Thu Minh, Nguyen Tien Dat

“…A precise HPLC-DAD-based quantification together with the metabolomics statistical method was developed to distinguish and control the quality of Fallopia multiflora, a popular medicinal material in Vietnam. Multivariate statistical methods such as hierarchical clustering analysis and principal component analysis were utilized to compare and discriminate six natural and twelve commercial samples. 2,3,4′,5-Tetrahydroxystilbene 2-O-β-D-glucopyranoside (THSG) (1), emodin (4), and the new compound 6-hydroxymusizin 8-O-α-D-apiofuranosyl-(1⟶6)-β-D-glucopyranoside (5) could be considered as important markers for classification of F. multiflora. …”
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Environmental qualitative assessment of rivers sediments by A.R. Karbassi, M. Pazoki

“…Based on the results of multivariate statistical analysis it was concluded that metals such as manganese, copper, iron, nickel and zinc are mainly natural and calcium metal is likely to have an organic origin.…”
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Image Analysis Based Grading of Bladder Carcinoma. Comparison of Object, Texture and Graph Based Methods and Their Reproducibility by Heung‐Kook Choi, Torsten Jarkrans, Ewert Bengtsson, Janos Vasko, Kenneth Wester, Per-Uno Malmström, Christer Busch

“…The large numbers of extracted features were evaluated in relation to subjective grading and to factors related to prognosis using multivariate statistical methods and multilayer backpropagation neural networks. …”
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Determination of Volatile Compounds in Four Commercial Samples of Japanese Green Algae Using Solid Phase Microextraction Gas Chromatography Mass Spectrometry by Masayoshi Yamamoto, Susanne Baldermann, Keisuke Yoshikawa, Akira Fujita, Nobuyuki Mase, Naoharu Watanabe

“…Benzaldehyde was predominant in seaweed from Shizuoka prefecture (Monostroma nitidum). Multivariant statistical analysis (PCA) enabled simple discrimination of the samples based on their volatile profiles. …”
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A Review of Ranking Models in Data Envelopment Analysis by F. Hosseinzadeh Lotfi, G. R. Jahanshahloo, M. Khodabakhshi, M. Rostamy-Malkhlifeh, Z. Moghaddas, M. Vaez-Ghasemi

“…The fourth group uses the multivariate statistical techniques, usually applied after conducting the DEA classification. …”
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A Urine Metabonomics Study of Rat Bladder Cancer by Combining Gas Chromatography-Mass Spectrometry with Random Forest Algorithm by Mengchan Fang, Fan Liu, Lingling Huang, Liqing Wu, Lan Guo, Yiqun Wan

“…A urine metabolomics study based on gas chromatography-mass spectrometry (GC-MS) and multivariate statistical analysis was applied to distinguish rat bladder cancer. …”
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Liquid Chromatography-Mass Spectrometry-Based Untargeted Metabolomics Analysis of Differential Metabolites in Three Types of Boza Made from Different Raw Materials by WANG Qi, GAO Yan, XUE Juanjuan, ZENG Jun, HUO Xiangdong, ZHAO Zhongkai

“…Untargeted metabolomics based on ultra-high performance liquid chromatography-quadrupole-time of flight-mass spectrometry (UPLC-Q-TOF-MS) was adopted to study three types of Boza, made from different raw materials. Multivariate statistical techniques such as principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA) were used to screening for differential metabolites, and pathway enrichment analysis of differential metabolites was carried out. …”
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A Study of Success Rate of Miniscrew Implants as Temporary Anchorage Devices in Singapore by Song Yi Lin, Yow Mimi, Chew Ming Tak, Foong Kelvin Weng Chiong, Wong Hung Chew

“…Conclusion. Multivariate statistical analyses of 11 variables demonstrate that length of miniscrew implant is significant in determining success.…”
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Integrated Crop-Livestock Management Effects on Soil Quality Dynamics in a Semiarid Region: A Typology of Soil Change Over Time by J. Ryschawy, M. A. Liebig, S. L. Kronberg, D. W. Archer, J. R. Hendrickson

“…Accordingly, multivariate statistical techniques serve as a valuable tool for analyzing data where responses to management are subtle or anticipated to occur slowly.…”
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Initial Evaluation of Computer-Assisted Radiologic Assessment for Renal Mass Edge Detection as an Indication of Tumor Roughness to Predict Renal Cancer Subtypes by Rahul Rajendran, Kevan Iffrig, Deepak K Pruthi, Allison Wheeler, Brian Neuman, Dharam Kaushik, Ahmed M Mansour, Karen Panetta, Sos Agaian, Michael A. Liss

“…Univariant and multivariant statistical analyses are utilized for analysis. …”
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The mediating role of TQM interventions and benchmarking in the impact of organizational culture on organizational performance by Naseem Mohammad Twaissi, Mohammad Orsan Al Zoubi, Ra’ed Masa’deh, Jumana Ziad AL Zoubi, Jebril Ali Alhelalat

“…Structural Equation Modeling (SEM), a multivariate statistical analysis technique, was employed to scrutinize the interrelationships among the variables under consideration. …”
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Salivary Metabolomics Fingerprint of Chronic Apical Abscess with Sinus Tract: A Pilot Study by Noemi Montis, Elisabetta Cotti, Antonio Noto, Claudia Fattuoni, Luigi Barberini

“…Subsequently, in order to compare the two groups, a multivariate statistical model was built that resulted to be statistically significant. …”
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Comparative metabolic study of planktonic and sessile cells in Salmonella Enteritidis ATCC 13076: Elucidating metabolic pathways driving biofilm formation. by Yuliany Guillín, Claudia Ortiz, William Hidalgo

“…The data matrix was analyzed by uni- and multivariate statistical methods (PCA, PLS-DA, Heatmap) in MetaboAnalyst software v 6.0. …”
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Assessment of Physicochemical Properties of Water and Public Perceptions of Water Quality in Tasik Chini, Pahang, Malaysia by M. S. Islam, T. M. Ekhwan, F. N. Rasli and C. T. Goh

“…The water sample was analyzed based on standard methods and categorized according to WQI (Water Quality Index). Multivariate statistical analysis was adopted to find spatial variations in water quality, determining the pollution level and sources of contamination. …”
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Spatiotemporal Variation Characteristics of Water Pollution and the Cause of Pollution Formation in a Heavily Polluted River in the Upper Hai River by Chunfang Meng, Xiaoyu Song, Kening Tian, Bingxiao Ye, Tianxiu Si

“…In this study, comprehensive water quality index (CWQI) and multivariate statistical techniques (MSTs) were applied to assess the spatiotemporal variation characteristics of water pollution and to identify potential pollution sources. …”
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Metabolome profiling dissects the oat (Avena sativa L.) innate immune response to Pseudomonas syringae pathovars. by Chanel J Pretorius, Paul A Steenkamp, Ian A Dubery

“…Chemometric modelling and multivariate statistical analysis indicated time-related metabolic reconfigurations that point to host and nonhost interactions in response to bacterial inoculation/infection. …”
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