Nonparametric regression estimation using multivariable truncated splines for binary response data by Afiqah Saffa Suriaslan, I Nyoman Budiantara, Vita Ratnasari

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Breed differentiation in northern Ethiopian cattle: The application of univariate and multivariate analyses of phenotypic traits. by Amine Mustefa, Mulata Hayelom, Awoke Melak

“…The frequency, general linear model (GLM), and canonical discriminant (CANDISC) analysis procedures of the Statistical Analysis Software (SAS 9.0) were used to analyze the data. …”
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A Partitioning-Based Approach to Variable Selection in WLW Model for Multivariate Survival Data by Wenjian Tian, Wenquan Cui

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Mood instability and risk of gastrointestinal diseases - a univariable and multivariable mendelian randomization study by Rui-lin Liu, Qing-chun Song, Li-ming Liu, Yi-feng Yang, Wei-hong Zhu

“…MR statistics from different datasets for the same disease were meta-analyzed to maximize the study population. …”
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Probabilistic Deep Learning for Highly Multivariate Spatio-Temporal Log-Gaussian Cox Processes by Achmad Choiruddin, Ekky Rino Fajar Sakti, Tintrim Dwi Ary Widhianingsih, Jorge Mateu, Kartika Fithriasari

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Analysis of Digital Life Effect of Residents’ Trust Based on Multivariate Discrete Choice Model by Fan Zeng, Xiao Cao, Huan-Ming Zhang

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A multivariate framework for measuring international mobility in tertiary education with neutrosophic sentiment assessment by Álvaro Toledo-San-Martin, Claudio Ruff-Escobar, Purification Galindo-Villardon, Purificación Vicente-Galindo

“…The goal is to evaluate trends across nations and subsequently propose a composite index of the multidimensional phenomenon. A variety of multivariate analytical techniques were employed; for example, STATIS (Structuring de Tableaux À Trois) Statistics Indices determined a composite structure across countries over time, while hierarchical cluster analysis revealed four clusters of countries with distinguished trends of international mobility in tertiary education. …”
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Assessing biomarker trajectories for mortality risk in peritoneal dialysis: A focus on multivariate joint modeling. by Merve Basol Goksuluk, Dincer Goksuluk, Murat Hayri Sipahioglu

“…Statistical methods included Cox proportional hazards models, time-dependent covariates, and joint modeling (univariate and multivariate) for longitudinal-survival data integration. …”
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Multivariate analysis of energy and solar performance across Dubai: insights from MANOVA and cluster analysis by Mayyas Alsalman, Marwa Alraeesi, Ayman Alzaatreh

“…This study aims to investigate the performance of energy consumption and solar generation under the Shams Dubai program, specifically across the residential, commercial, and industrial sectors within various communities in Dubai. The study analyzed 93 community areas using hierarchal clustering Analysis and Multivariate Analysis of Variance to group and compare energy patterns. …”
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Adoption Index of Recommended Onion Production Practices and Correlation of Multivariate Factors among Smallholder Farmers by Sambo Mailumo, Godfrey Onuwa

“…Primary data collected via well-structured questionnaires were analyzed using Descriptive statistics, Adoption index and Multivariate Correlation techniques.The results revealed that the prevalent ROPPs adopted by the farmers include improved onion varieties (78%), plant spacing (69%), planting method (55%), weed management (50%) and fertilizer application (44%). …”
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Opportunity, Challenges and Approaches of Multivariate Diversity Analysis for Quantitative Traits of Pulse Crops: A Review by Nuru Seid TEHULIE, Fikru MEKONNEN, Agegnehu MEKONNEN, Ahmed HASSEN, Semira EBRAHIM, Solomon ABEBE

“…A deeper understanding of genetic variation will guide the conservation of essential resources. Multivariate techniques are particularly valuable in analyzing the relationships between variables, enabling researchers to explore these connections in a more expansive manner. …”
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Comprehensive morphological and biochemical characterization of garlic (Allium sativum L.) genotypes using multivariate analysis by İbrahim Sönmez, Ümit Haydar Erol, Kamil Sarpkaya

“…Genotypes G10, G12, and G14 exhibited superior morphological features with rich mineral content, while high levels of bioactive compounds (micronutrients and organic acids) in G6, G8, and G16 distinguished them biochemically. The use of multivariate statistical analysis allowed accurate differentiation among genotypes based on their structure and biochemical properties, paving the way for specific breeding strategies. …”
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Determinants of Market Outlet Choices of Tef Producers in Western Ethiopia: Evidence of Multivariate Probit Model by Kifle Degefa, Getachew Biru, Galmessa Abebe

“…Purposive and multi-stage sampling technique was used to determine sample households. The descriptive statistics and multivariate probit model were employed to analyze the collected data. …”
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The Flavor Change Mechanism of Gushi Goose Nuggets at Different Processing Stages Analyzed by GC-MS Combined with Chemometrics by ZHOU Zhou, LIU Cheng-gang, CAO Meng, YAO Heng-zhe, LI Fei, DU Xian-feng

“…The proportion of ketone volatile flavor substances increased gradually with the progression of processing stages, imparting fruity, fresh, and buttery aromas to the goose cubes. Multivariate statistical analysis showed that there were statistical differences in the characteristic flavor components of different samples. …”
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Functional metabolomics as a tool to analyze Mediator function and structure in plants. by Celine Davoine, Ilka N Abreu, Khalil Khajeh, Jeanette Blomberg, Brendan N Kidd, Kemal Kazan, Peer M Schenk, Lorenz Gerber, Ove Nilsson, Thomas Moritz, Stefan Björklund

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Differences in Metabolites of Different Varieties from Xinjiang Large-fruit Sea Buckthorn as Analyzed by Non-targeted Metabolomics by Rong HAN, Yan MA, Shengjie LI, Xintao MENG, Mingqiang XU, Ting ZHANG, Yan PAN

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Biosensor response to multi-component mixtures statistical analysis and forecasting by Romas Baronas, Sigitas Būda, Feliksas Ivanauskas, Pranas Vaitkus

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ROMAN OIL LAMP OF TERRACOTTA ON SYRIAN COAST: STATISTICAL ANALYSIS by Mustafa BASHAR, Francisco Javier ESQUIVEL, José Antonio ESQUIVEL

“…</p><p class="SC-AbstractTextCxSpMiddle">From the data published in the scientific literature, four quantitative variables (length, width, discus diameter and shape index) and two qualitative variables of great archaeological relevance (context and chronology) from Syria oil lamps have been recorded, which has allowed us to analyze the oil lamps by applying bivariate and multivariate statistical analysis. …”
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Statistical Analysis of Risk Factors in High-Risk Penetrating Keratoplasty by G. Sh. Arzhimatova, G. M. Chernakova, E. A. Salikhov, M. Y. Shemyakin

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Development of rice mutants with enhanced resilience to drought and brown spot (Bipolaris oryzae) and their physiological and multivariate analysis by Shahwar Fatima, Muhammad Rashid, Amjad Hameed, Sajid Fiaz, Nazih Y. Rebouh, Qamar uz Zaman

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