Depression Following Thrombotic Cardiovascular Events in Elderly Medicare Beneficiaries: Risk of Morbidity and Mortality by Christopher M. Blanchette, Linda Simoni-Wastila, Fadia T. Shaya, Denise Orwig, Jason Noel, Bruce Stuart

“…Time to death and first recurrent TCE were assessed using descriptive and multivariate statistics. Results. Of the elders with a depression claim, 71.6% had a recurrent TCE and 4.7% died within 12 months of their indexed TCE, compared to 67.6% and 3.9% of those elders without a depression claim. …”
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Early mortality, epidemiological and clinical factors in seriously ill patients treated in Intermediate Care Units by Osmani Pérez Ortiz, Angel Antonio Urbay Ruíz, Elaine Teresa Gutiérrez Pérez, Lis Marlyn Rodríguez García, Ivette Irene Molina Linares, Ernesto Conyedo Vergel

“…Documentary analysis of medical records and descriptive and inferential, bivariate and multivariate statistics were used. Results: older adult patients increased the possibility of dying early 1.5 times and those with white skin three times, the latter with an 80% occurrence in this study. …”
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The volatilome – investigation of volatile organic metabolites (VOM) as potential tumor markers in patients with head and neck squamous cell carcinoma (HNSCC) by Philipp Opitz, Olf Herbarth

“…In addition, the multivariate statistics confirmed that on the basis of the renal excreted pattern of the volatile metabolites a high discrimination can be carried out between patients with a tumor in the head and neck region and controls. …”
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Consumer acceptance of protein beverage ingredients: Less is more by D. Rovai, M.E. Watson, D.M. Barbano, M.A. Drake

“…Survey data were evaluated by univariate and multivariate statistics. Consumer sentiment from focus groups was compiled and grouped based on themes that emerged across multiple focus groups. …”
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The metabolomic approach to the assessment of cultivar specificity of Brassica napus L. seeds by G. N. Smolikova, A. L. Shavarda, I. V. Alekseichuk, V. V. Chantseva, S. S. Medvedev

“…In order to keep the data assay within the context of multivariate statistics, we used principal component analysis (PCA), partial least square discriminant analysis (PLS-DA), and partial least square regression (PLS-R). …”
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Urine metabolic profile in rats with arterial hypertension of different genesis by A. A. Sorokoumova, A. A. Seryapina, Yu. K. Polityko, L. V. Yanshole, Yu. P. Tsentalovich, М. А. Gilinsky, А. L. Markel

“…Then, potential metabolomic markers for the studied forms of hypertensive conditions were identified using multivariate statistics. Analysis of the data obtained showed that hereditary stress-induced arterial hypertension in ISIAH rats was characterized by a decrease in the following urine metabolites: nicotinamide and 1-methylnicotinamide (markers of inflammatory processes), N- ace tyl glutamate (nitric oxide cycle), isobutyrate and methyl acetoacetate (gut microbiota). …”
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Extrinsic attributes that drive consumer purchase of block mozzarella by K. Homwongpanich, M.E. Watson, D. Rovai, H. Eshpari, M.A. Drake

“…Survey data were evaluated by univariate and multivariate statistics. The ideal block mozzarella for consumers was made from whole milk, had a firm texture or shreds well, block or bar shape, with a resealable package and farmer-owned labeling. …”
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Quick Determination of Soil Quality Using Portable Spectroscopy and Efficient Multivariate Techniques by Ernest Teye, Charles L. Y. Amuah, Kofi Atiah, Ransford Opoku Darko, Thomas Abindaw, Kwadwo Kusi Amoah, Michael Miyittah, Emmanuel Afutu, Rebecca Owusu

“…In this study, a pocket-sized shortwave NIR spectroscopy (740–1070 nm) and multivariate statistics were used to classify soil from different land-use types and simultaneously predict nitrogen (N), phosphorus (P), potassium (K), calcium (Ca2+), magnesium (Mg2+), and pH in Ghana. …”
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Ancient and contemporary shellfish cultivation practices bolster bivalve communities and diversity‐biomass relationships by Kieran D. Cox, Hailey L. Davies, Ben Millard‐Martin, Morgan Black, Margot Hessing‐Lewis, Nicole F. Smith, Francis Juanes, Sarah E. Dudas

“…We examined these data using a combination of diversity indices, structural complexity metrics, non‐parametric multivariate statistics and supervised machine learning algorithms. …”
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Analysis of correlations between indices of academic performance by Jelena Čikun, Jonas-Vytautas Daunoravičius, Marijus Radavičius

“… The paper is devoted to multivariate statistical analysis of academic performance data. …”
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Extended Matrix Variate Hypergeometric Functions and Matrix Variate Distributions by Daya K. Nagar, Raúl Alejandro Morán-Vásquez, Arjun K. Gupta

“…Hypergeometric functions of matrix arguments occur frequently in multivariate statistical analysis. In this paper, we define and study extended forms of Gauss and confluent hypergeometric functions of matrix arguments and show that they occur naturally in statistical distribution theory.…”
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Dose-Dependent Differentiation of Gamma-Irradiated Hazelnut Samples by Mid-Infrared Spectroscopy Coupled with Chemometrics by Ayca Dogan, Mete Severcan, Feride Severcan

“…In conclusion, FTIR spectroscopy combined with multivariate statistical analysis has potential for the development of a reliable and fast methodology for separation of high-dose irradiated food samples.…”
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A Dynamic Intrusion Detection System Based on Multivariate Hotelling’s T2 Statistics Approach for Network Environments by Aneetha Avalappampatty Sivasamy, Bose Sundan

“…In this work, an approach based on Hotelling’s T2 method, a multivariate statistical analysis technique, has been employed for intrusion detection, especially in network environments. …”
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Investigation of Clinical Characteristics and Etiological Factors in Children with Molar Incisor Hypomineralization by Maria Rita Giuca, Maria Cappè, Elisabetta Carli, Lisa Lardani, Marco Pasini

“…Univariate and multivariate statistical analysis showed a significant association (p<0.05) between MIH and ear, nose, and throat (ENT) disorders and the antibiotics used during pregnancy (0.019). …”
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Cluster analysis applied to fuel price data in Campina Grande by Richard Silva, Thaisa Azevedo, Hiago Martins, Lucas Cardoso Pereira

“… This work uses cluster analysis to analyze similarities in the prices of regular gasoline and ethanol in Campina Grande-PB, Brazil. This multivariate statistical technique groups similar elements into distinct clusters using the non-hierarchical method (k-means). …”
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Monitoring and assessment of a eutrophicated coastal lake using multivariate approaches by U.G. Abhjna

“…Thus the present study could estimate the effectiveness of multivariate statistical approaches for assessing water quality conditions in lakes.…”
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DETERMINING FACTORS OF A CITY’S TOURISM ATTRACTIVENESS by ARTURO CALVO-MORA, JUAN MANUEL BERBEL-PINEDA, RAFAEL PERIÁÑEZ, EVA MARÍA SUÁREZ

“…This methodology combines qualitative information provided by experts and quantitative information obtained from multivariate statistical techniques. The results of the work suggest, in addition to the validity and suitability of the methodology, that the attractiveness of a tourist destination could be improved by the implementation of a set of publicprivate plans linked to its tourism positioning, residents‟ awareness, the best use of the cultural and social wealth and the rich heritage, as well as the improvement of the infrastructure and the public and private management of tourism.…”
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A Fast and Efficient Estimation of the Parameters of a Model of Accident Frequencies via an MM Algorithm by Issa Cherif Geraldo, Edoh Katchekpele, Tchilabalo Abozou Kpanzou

“…In this paper, we consider a multivariate statistical model of accident frequencies having a variable number of parameters and whose parameters are dependent and subject to box constraints and linear equality constraints. …”
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THE INVESTIGATION OF THE RELATIONSHIP BETWEEN SOCIAL AND ECONOMIC INDICATORS BY CANONICAL CORRELATION AND PARTIAL CANONICAL CORRELATION ANALYSIS FOR EU AND OTHER DEVELOPED COUNTRIE... by Ceren Ünal, Hüseyin Tatlıdil

“…Canonicalcorrelation analysis, which is one of the multivariate statistical methods, isan alternative to multivariate regression analysis and it reveals therelationship between the variable sets. …”
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Television viewing and personality needs of South African adolescents by Daan van Vuuren, J .J. de Beer, S.H.C. du Toit

“…Based on a large scale South African study of the influence of television on school-going children, the data of approximately 2 000 adolescents, retested from their 12th to 18th year, are used. Multivariate statistical techniques, e.g. profile analysis, were used to analyze the data obtained by various psychometric instruments and questionnaires. …”
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