Showing 521 - 540 results of 4,656 for search '"\"((\\"factor AND regression analyzed\\") OR (\\"factors AND regression analyzed\\"))~\""', query time: 0.15s Refine Results
  1. 521

    Study on the Influence of Inertial Force on the Performance of Aerostatic Thrust Bearings by Shuo Jia, Chenhui Jia, Yanhui Lu

    Published 2025-04-01
    “…Finally, in the multi-factor analysis, the sample regression equation of relative error of bearing capacity and relative error of restoring torque is established by using the multiple regression analysis method. …”
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    Article
  2. 522

    The Effect of Economic Factors on Coffee Consumption in Rukungiri District, South-Western Uganda by moses Agaba

    Published 2023
    “…The thematic analysis method was utilized to assess the qualitative data, while SPSS Version 23.0 was used to analyze the quantitative data. Based on the study's aims, quantitative data were presented in tables as descriptive statistics, correlations, and regressions. …”
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    Article
  3. 523

    Causes and risk factors of deaths in maintenance hemodialysis patients with end-stage renal disease by ZHOU Kang-kang, ZHANG Jun-yu, ZHOU Hong-wei

    Published 2018-01-01
    “…Objective To analyze the causes of deaths in maintenance hemodialysis patients and to explore the risk factors associated with deaths. …”
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    Article
  4. 524

    Impact of Geopolitical and International Trade Dynamics on Corporate Vulnerability and Insolvency Risk: A Graph-Based Approach by Yu Zhang, Elena Sánchez Arnau, Enrique A. Sánchez Pérez

    Published 2025-06-01
    “…The mechanisms that relate geopolitical factors, such as trade sanctions and international conflicts, with the oscillations in the global market are analyzed. …”
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    Article
  5. 525

    Optimized machine learning algorithms with SHAP analysis for predicting compressive strength in high-performance concrete by Samuel Olaoluwa Abioye, Yusuf Olawale Babatunde, Oluwafikejimi Abigail Abikoye, Aisha Nene Shaibu, Bailey Jonathan Bankole

    Published 2025-07-01
    “…The models evaluated include Gradient Boosting Regressor (GBR), Extreme Gradient Boosting Regression (XGBoost), Random Forest (RF), Support Vector Regression (SVR), Artificial Neural Network (ANN), Multilayer Perceptron (MLP), Lasso, and k-Nearest Neighbors (KNN). …”
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    Article
  6. 526

    Association of female reproductive factor with risk of arthritis: a population-based cross-sectional study by Jiajia Wang, Yiting Ge, Jingbo Xu, Lin He, Chunjiang Liu, Yuefei Wang

    Published 2025-08-01
    “…After adjusting for potential confounding factors, we used weighted multivariable logistic regression analysis, restricted cubic spline (RCS) model, and subgroup analysis to evaluate the association of AFB, ALB, number of live births, and pregnancies with prevalence of arthritis. …”
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  7. 527

    Novel insight into prediction model for sleep quality among college students: a LASSO-derived sleep evaluation by Ling Yao, Ling Yao, Qingquan Chen, Kang Yang, Zhihua Zheng, Zhihan Chen, Danna Wang, Yining Xia, Dingquan Chen, Lufeng Chen

    Published 2025-04-01
    “…This study aims to provide a fresh perspective by developing and validating a predictive model for sleep quality among college students.MethodsData from 20,645 college students in Fujian Province, China, collected between 5th April and 16th April 2022, were analyzed. Participants completed the Pittsburgh Sleep Quality Index (PSQI) scale, a self-designed general data questionnaire, and a sleep quality influencing factor questionnaire. …”
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    Article
  8. 528

    Establishment and Validation of a Dynamic Nomogram for Persistent Organ Failure in Acute Biliary Pancreatitis: A Retrospective Study by Gu K, Wang Q

    Published 2024-11-01
    “…Early detection of high-risk POF patients is crucial for clinical decision-making.Patients and Methods: Clinical data and laboratory indicators within 24 hours of admission from ABP patients diagnosed at The First Affiliated Hospital of Wenzhou Medical University between January 1, 2016, and January 1, 2024 were collected and retrospectively analyzed. The Least Absolute Shrinkage and Selection Operator (LASSO) regression and multivariate logistic regression (stepwise regression) methods were employed to identify variables for constructing the prediction model. …”
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    Article
  9. 529

    Association analysis of the triglyceride-glucose index with carotid atherosclerotic plaques by Shuping CHEN, Weiting TANG, Tian LAN, Jinlong LI, Qi XU, Lingqiao QIN, Qiuan ZHONG

    Published 2025-06-01
    “…The correlation between the TyG index and the occurrence of CAP in the population with varying characteristics was analyzed using LASSO regression, multifactorial logistic regression, and linear trend tests. …”
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    Article
  10. 530

    The Epidemiology of Hypertension in Uganda: Findings from the National Non-Communicable Diseases Risk Factor Survey. by David Guwatudde, Gerald Mutungi, Ronald Wesonga, Richard Kajjura, Hafisa Kasule, James Muwonge, Vincent Ssenono, Silver K Bahendeka

    Published 2015-01-01
    “…Prevalence rate ratios (PRR) using modified Poison regression modelling was used to identify factors associated with hypertension.…”
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  11. 531

    Risk factor analysis and nomogram development for advanced-stage hepatic fibrosis in patients with Wilson’s disease by Jiafeng Zhou, Jiafeng Zhou, Zuolong Li, Junwei Wang, Zhenzhen Jiang, Tao Wang, Tianyu Xie, Liangchen Wang, Shuai Kang, Zhuang Tao, Meixia Wang

    Published 2025-07-01
    “…Identification of the independent risk factors for advanced hepatic fibrosis in WD was conducted through univariate and multivariate Cox regression analyses, followed by the construction of the clinical predictive model. …”
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  12. 532

    Carbon factor inventory and weight in rural communities: a case study of Linpan in western Sichuan by Yujie He, Pingjuan Zou, Lei Xu, Rui Peng, Hang Chen, Congshan Tian, Lili Zhang

    Published 2025-08-01
    “…Principal component analysis (PCA) and multiple regression analysis were used to construct regression models for carbon factors and their related indicators in 5 dimensions, and the weights of carbon factors in each dimension were sorted to determine the most significant carbon factor indicators within each research scope. …”
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    Article
  13. 533
  14. 534

    Crise de performance économique et facteurs associés dans les exploitations agricoles en Haïti by Kervline Gabellus, Matino Joseph, Bénédique Paul

    Published 2024-12-01
    “…Therefore, the objective of this study was to analyze the factors associated with the probability of negative incomes of farms facing this economic performance deficit. …”
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  15. 535

    ENGLISH-A PERCEPTION ANALYSIS OF CUSTOMER’S SENSITIVITY TO INTEREST FACTOR IN CONTEMPORARY ISLAMIC BANKING IN PAKISTAN by Muhammad Kaleem, Hafiz ullah

    Published 2018-01-01
    “…In addition to cross tabulation, Analysis of Variance and Regression were used to analyze the data. The result of the study indicates that customer have almost the same perception about interest factor in Islamic banks as in other conventional banks. …”
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  16. 536

    Consumers’ Awareness on Organic Food: Case of Urban Sri Lanka by S.H. Pushpa Malkanthi, S.D. Dilini Rathnachandra, W.A. Ruwani N. Weerasinghe

    Published 2021-12-01
    “…The results of the regression analysis highlighted that the consumers’ awareness is significantly affected by factors such as gender, marital status, education, and monthly income. …”
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  17. 537

    Enhancing Performance and Quality of Transmission Through Knowledge-Driven Machine Learning-Based FWM Mitigation by Sudha Sakthivel, Muhammad Mansoor Alam, Aznida Abu Bakar Sajak, Mazliham Mohd Su'ud, Mohammad Riyaz Belgaum

    Published 2024-01-01
    “…The accuracy of the proposed SMR-DWDM system is confirmed by validating it with various FWM mitigating factors monitored by Optical Spectrum Analyzer (OSA) and Bit Error Rate (BER) analyzers. …”
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  18. 538
  19. 539

    Fast Prediction for Roll Motion of a Damaged Ship Based on SVR by LIU Han, SU Yan, ZHANG Guoqiang

    Published 2025-07-01
    “…The support vector regression (SVR) algorithm is used to model the rolling motion database for identification, exploring the relationship between the operating condition factors and coefficients in the equation of roll motion. …”
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  20. 540

    Econometric predictive model for assessing the functional state of students during the examination period: a cross-sectional exploratory pilot study by I. S. Knyazhev, L. V. Karaulova, O. V. Reztsov, A. P. Spitsin

    Published 2023-10-01
    “…The present study investigates factors associated with the adaptation potential of the cardiovascular system, develops multiple regression models for the dependence of the adaptive potential on these factors, and compares the significance of the linear model with non-linear ones. …”
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