Showing 81 - 100 results of 3,256 for search '"\"((\\"factors AND regression analyzed\\") OR (\\"factors AND regression analysis\\"))~\""', query time: 0.16s Refine Results
  1. 81

    A Bayesian Logistic Regression approach in Asthma Persistence Prediction by Ioannis I. Spyroglou, Gunter Spöck, Eleni A. Chatzimichail, Alexandros G. Rigas, E.N. Paraskakis

    Published 2022-02-01
    “…Methods: Data from 147 asthmatic children were analyzed by a new method for predicting asthma outcome using Principal Component Analysis (PCA) in combination with a Bayesian logistic regression approach implemented by the Markov Chain Monte Carlo (MCMC). …”
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    Article
  2. 82
  3. 83

    Analysis of spatial and temporal distribution of grassland yield under grassland ecological subsidy policy by ZhanMing Qiao, Feng Lai, ZengLian Xiong, QuanMin Dong, Yang Yu, ChunPing Zhang, Quan Cao

    Published 2025-08-01
    “…Based on the grassland yield data from 2011 to 2016, this paper analyzed the spatial and temporal distribution of grassland yield and variations in grass production since the implementation of the grassland ecological subsidy policy in Qinghai Province by using linear regression analysis, coefficient of variation, and biased correlation analysis. …”
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  4. 84

    Analysis of the Stability of the Banking Sector of Azerbaijan in Conditions of Economic Crisis Based on the Econometric Model by S. M. Huseynova, T. Ja. Hajizada

    Published 2024-05-01
    “…To carry out the analysis and construct regression equations, quarterly data for the period 2012-2023 were used. …”
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  5. 85
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    On the Issue of Analyzing and Optimizing the Salary Budget of Professional Hockey Clubs by I. P. Kurochkina, L. A. Mamatova, E. B. Shuvalova, N. A. Malysheva

    Published 2022-03-01
    “…The aim of the study is to use the methods of correlation-regression analysis as a tool to determine the fair share of a professional hockey player’s salary in the total salary budget of a hockey club. …”
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    Article
  8. 88

    The method for impact analyzing of duplex plasma nitriding and DLC coatings on the cyclic performance of 16MnCr5 piston pin steel under plain and fretting fatigue testing by Mobin Dizisaz, Mohammad Sadegh Aghareb Parast, Mohammad Azadi

    Published 2025-06-01
    “…The impact of the mentioned parameters on the fatigue behavior of the samples was carefully analyzed using regression models to identify the influential or significant factors. • Fully reversed rotary bending plain and fretting fatigue testing was conducted at stress levels ranging from 250 to 550 MPa. …”
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  9. 89

    The Role of Country- and Firm-Level Factors in Determining Firms’ Environmental, Social, and Governance (ESG) Performance: A Machine Learning Approach by Eman Abdelfattah, Mahfuja Malik, Syed Muhammad Ishraque Osman

    Published 2025-01-01
    “…The second-best predictive model was the extra-trees regressor with an R2 value of 27% and an MAE of 1.56. In our analysis, the multiple regression model had the lowest R2 value of 14%, with an MAE value of 1.70. …”
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  10. 90

    Study on the efficiency of health resource allocation in the western region of China–based on three-stage DEA and Tobit regression analysis by Dongxue Zhao, Hua Huang, Yu Zhang, Shuanghang Li

    Published 2025-04-01
    “…Methods In this study, we employed a three-stage Data Envelopment Analysis (DEA) model alongside Tobit regression analysis to evaluate the efficiency of health resource allocation and explore the factors that influence it across western China. …”
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  11. 91
  12. 92

    Trends and delays in pulmonary tuberculosis diagnosis among elderly patients (≥ 60 Years) in Southern China: a 13-year surveillance data analysis (2010–2022) by Fangjing Zhou, Qi Sun, ShanShan Huang, Jianwei Li, Yuhui Chen, Huiying Feng

    Published 2025-05-01
    “…Trends in annual delays were examined using a Joinpoint regression program. Both univariate and multivariate logistic regression analyses were conducted to identify factors influencing TDD. …”
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  13. 93

    Prognostic model for predicting recurrence in breast cancer patients in Saudi Arabia by Ousman Khan, Jimoh Olawale Ajadi, Fahad Almsned, Hani Almohanna, Amjad Alrasheed, Ridwan A. Sanusi, Nurudeen A. Adegoke

    Published 2025-05-01
    “…Using multivariable penalized logistic regression combined with a nested cross-validation framework and multivariate Cox regression analysis to determine time-dependent risk factors for breast cancer recurrence, we developed prognostic models that incorporated age, stage, tumor size, and treatment type. …”
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  14. 94

    Extents of rural-urban linkages and its determinant factors in Robe town and its surrounding hinterlands, Bale Zone, South East Ethiopia by Zeleke Gonfa Werdofa, Samson Kassahun, Kassahun Gashu

    Published 2025-01-01
    “…The ordinal logistic regression analysis identified several statistically significant factors (P < .05) that influence linkage strength. …”
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  15. 95

    Experimental Research on Frost Heave Characteristics of Gravel Soil and Multifactor Regression Prediction by Xiaoyong Long, Guoping Cen, Liangcai Cai, Yue Chen

    Published 2018-01-01
    “…Frost-heaving ratio in the open water replenishing condition can be found to increase over three times than that under the closed water replenishing condition. Multifactor regression empirical formula was obtained by multiple regression analysis to predict the frost-heaving ratio of gravel soil under certain collocation of factors and levels under the closed water replenishing condition. …”
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  16. 96

    Trends in burden and mortality of congenital birth defects in G20 countries (1990–2021) and predictions for 2022–2040 by Xiangwen Li, Pengfei Qu, Pu Yan, Yule Kou, Jian Song, Di Wu, Jiayi Wang, Siyu Pan, Yufei Liu, Xinrui Li, Rongqiang Zhang

    Published 2025-04-01
    “…Spearman correlation analysis with locally weighted regression, supplemented by 10,000 bootstrap iterations for robustness validation was used to examine the associations between the socio-demographic index (SDI), healthcare access and quality (HAQ) index, Summary exposure value (SEV) of risk factor exposure, and ASR. …”
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    Article
  17. 97

    Payment Status Classification Invoice Bank Using Logistic Regression and Random Forest by Farah Anindia Putri, Mujiati Dwi Kartikasari

    Published 2025-09-01
    “…This study aims to analyze the factors that affect invoice payment status based on company type, procurement type, and invoice value. …”
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  18. 98

    Statistical analysis of the financial state of the banking sector by O. G. Tretyakova, T. I. Chinaeva

    Published 2018-06-01
    “…The correlation-regression analysis of the  factors influencing the formation of the profit of the banking sector  showed that the most significant value is the volume of loans.  …”
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