Showing 81 - 100 results of 2,966 for search '"\"((\\"factors AND regression analysis\\") OR (\\"factor AND regression analyzed\\"))\""', query time: 0.10s Refine Results
  1. 81

    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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    Article
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    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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  5. 85

    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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  6. 86

    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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    Article
  7. 87

    Toward Building Model of Business Closure Intention in SMEs: Binomial Logistic Regression by Gelmar García-Vidal, Alexander Sánchez-Rodríguez, Laritza Guzmán-Vilar, Reyner Pérez-Campdesuñer, Rodobaldo Martínez-Vivar

    Published 2025-06-01
    “…The survey evidence from 385 Ecuadorian SMEs was analyzed in two stages; confirmatory factor analysis validated the scales capturing environmental pessimism and personal pressures, and a structural equation model confirmed that both latent constructs directly heighten exit propensity. …”
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    Article
  8. 88

    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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    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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    Article
  12. 92

    Sociological Analysis of the Factors Influencing the Voting Pattern by karim rezadoust, marziyeh shahriari, mona fazelipour

    Published 2018-11-01
    “…In analyzing the data, descriptive statistics such as mean and frequency distribution tables and analytical methods, such as correlation and linear and logistic regression analysis were used. …”
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    Article
  13. 93

    Analysis of influencing factors of the efficacy of endoscopic dacryocystorhinostomy by YAO Yuejiao, MO Ya

    Published 2025-01-01
    “…The results of Logistic regression analysis showed that inferior turbinate hypertrophy was a risk factor for the efficacy of En-DCR (P<0.05). …”
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  14. 94

    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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  15. 95

    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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  16. 96

    Large biogenic contribution to boundary layer O3‐CO regression slope in summer by Ye Cheng, Yuhang Wang, Yuzhong Zhang, Gao Chen, James H. Crawford, Mary M. Kleb, Glenn S. Diskin, Andrew J. Weinheimer

    Published 2017-07-01
    “…The observations are simulated well by a regional chemical transport model. We analyze the model results to understand the factors contributing to the observed O3‐CO regression slope, which has been used in past studies to estimate the anthropogenic O3 production amount. …”
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    Thermal Mitigation in Coastal Cities: Marine and Urban Morphology Effects on Land Surface Temperature in Xiamen by Tingting Hong, Xiaohui Huang, Qinfei Lv, Suting Zhao, Zeyang Wang, Yuanchuan Yang

    Published 2025-04-01
    “…The study area was categorized based on the influence of marine factors, and the spatial relationships between urban morphological elements and LST were analyzed using a multiscale geographically weighted regression model. …”
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