A Self-Adaptive Regression-Based Multivariate Data Compression Scheme with Error Bound in Wireless Sensor Networks by Jianming Zhang, Kun Yang, Lingyun Xiang, Yuansheng Luo, Bing Xiong, Qiang Tang

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Advancing in creep index of soil prediction: A groundbreaking machine learning approach with Multivariate Adaptive Regression Splines by Mohammed E. Seno, Husein Ali Zeini, Hamza Imran, Mohammed Noori, Sadiq N. Henedy, Nouby M. Ghazaly

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Based on Bayesian multivariate skewed regression analysis: the interaction between skeletal muscle mass and left ventricular mass by Zhenchao Liu, Tianxiang Lei, Tianwei Liu, Yunliang Guo, Yun Wang, Yu Cao

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Step-by-Step: Insights on key marine organisms associated with coral reef benthic cover using Stepwise Multivariate Regression by Wee Hin Boo, Affendi Yang Amri, Then Amy Yee Hui, Chen Sue Yee, Hyde Julian

“…Stepwise Multivariate Regressions showed that 6 out of 9 keystone fishes and 4 out of 8 keystone invertebrates were significantly correlated with each individual benthic cover. …”
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1-Hexadecyl-3-methylimidazolium tetrachloroindate ionic liquid as corrosion inhibitor for mild steel: Insight from experimental, computational, multivariate statistics and multi-quadratic regression based machine learning model by Ndidiamaka Martina Amadi, Joseph Okechukwu Ezeugo, Chukwunonso Chukwuzuluoke Okoye, John Ifeanyi Obibuenyi, Maduabuchi Arinzechukwu Chidiebere, Dominic Okechukwu Onukwuli, Valentine Chikaodili Anadebe

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Optimizing Multivariable Logistic Regression for Identifying Perioperative Risk Factors for Deep Brain Stimulator Explantation: A Pilot Study by Peyton J. Murin, Anagha S. Prabhune, Yuri Chaves Martins

“…Recursive feature elimination with cross-validation (RFECV) optimized factor selection was used. A multivariate logistic regression model was trained and evaluated using precision, recall, F1-score, and area under the curve (AUC). …”
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Prevalence and risk factors associated with tuberculosis and HIV coinfection in Iran: A multivariate firth logistic regression for rare events by Alireza Mirahmadizadeh, Mehdi Sharafi, Jafar Hassanzadeh, Mozhgan Seif

“…Based on results of multivariate Firth logistic regression, male gender OR male/female = 1.91; injecting drug use (IDU) OR YES/NO = 1.46; illiterate or primary groups OR illiterate or primary /university = 2.23; high school group OR high school/ university = 2.24 all increased the risk of TB and HIV coinfection (p < 0.05). …”
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Prognostic value of multivariate logistic regression analysis and amyloid A lactate monitoring in patients with severe pneumonia-associated sepsis by Mengying Xie, Zuliang Min, Wei Jiang, Zhifang He, Xuexia Xia

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Modified partial least square structural equation model with multivariate adaptive regression spline: Parameter estimation technique and applications by Hendra H. Dukalang, Bambang Widjanarko Otok, Purhadi

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Evaluation by Multivariate Statistical Methods of Relationship with Physicochemical Properties of Humic Acid and Some Soil by Mehmet DÜZGÜN, Uğur BİLGE, M. Zahir DÜZ

“…The relationships between all variables were evaluated by multivariate statistical analysis such as correlation, simple linear regression, PCA (Principal Component Analysis). …”
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Circulating 25‐Hydroxyvitamin D Levels During Pregnancy and Risk of Congenital Heart Diseases: Multivariable and Mendelian Randomization Analyses Using 3 Birth Cohorts by Karen Christina Walker, Ina O. Specht, Vibeke Hjortdal, Henrik T. Christesen, Berit L. Heitmann, Gillian Santorelli, Jane West, Per Magnus, Pål R. Njølstad, Elizabeth C. Corfield, Alexandra Havdahl, Maria Magnus, Kurt Taylor, Deborah A Lawlor

“…We aimed to investigate 25(OH)D levels during pregnancy in relation to offspring risk of CHD using both multivariable regression (MVR) analysis and Mendelian randomization (MR) analysis. …”
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MULTIVARIATE ASSESSMENT OF THE IMPACT OF INVESTMENT ACTIVITY ACTIVITIES ON THE COST OF AN OIL COMPANY by A. Gvozdik, Y. Rudneva

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Traffic Safety Performance Assessment and Multivariate Treatments for Intersection Locations by Yong-gang Wang, Han Bai, Wen-sen Xiang

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AI enhanced model predictive control for optimizing LPG recovery through integrated computational modeling design of experiments and multivariate regression by Basma Abd El Hakim, Mahmoud Abdel-Halim Abdel-Goad, M. E. Awad, Abeer M. Shoaib

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A Junction Temperature Prediction Method Based on Multivariate Linear Regression Using Current Fall Characteristics of SiC MOSFETs by Haihong Qin, Yang Zhang, Yu Zeng, Yuan Kang, Ziyue Zhu, Fan Wu

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Estimating Coastal Dyke Leakage Flow Using Support Vector Machine (SVM) and Multivariate Adaptive Regression Spline (MARS) Model by Adel Asakereh, Farhad Choobi, mohammad bagherzadeh, reza mirzaee

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A novel diagnosis methodology of gear oil for wind turbine combining Stepwise multivariate regression and clustered federated learning framework by Huihui Han, Ye Zhao, Hao Jiang, Muxin Chen, Song Zhou, Zihan Lin, Xin Wang, Boman Mao, Xinyue Yang, Yuchun Li

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Assessing the Impacts of Transition and Physical Climate Risks on Industrial Metal Markets: Evidence from the Novel Multivariate Quantile-on-Quantile Regression by Ousama Ben-Salha, Mourad Zmami, Sami Sobhi Waked, Bechir Raggad, Faouzi Najjar, Yazeed Mohammad Alenazi

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A Representative Analysis of Nonparticipation in Workplace Health Promotion in Germany Using Multivariable Methods by Birgit Pache, Britta Herbig, Dennis Nowak, Christian Janssen

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Multivariate Multiple Regression Analysis Based on Principal Component Scores to Study Relationships between Some Pre- and Post-slaughter Traits of Broilers by Mehmet Mendes

“…The main purpose of this study is to show that how can we use multivariate multiple linear regression analysis (MMLR) based on principal component scores to investigate relations between two data sets (i.e.pre- and postslaughter traits of Ross 308 broiler chickens). …”
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