Showing 1,801 - 1,820 results of 9,798 for search '"\"((\\"factor AND regression analyzed\\") OR (\\"factors AND regression analyzed\\"))*\""', query time: 0.28s Refine Results
  1. 1801

    Predictive potential of cardiovascular risk factors and their associations with arterial stiffness in people of European and Korean ethnic groups by T. A. Brodskaya, V. A. Nevzorova, K. I. Shakhgeldyan, B. I. Geltser, D. A. Vrazhnov, Yu. V. Kistenev

    Published 2021-06-01
    “…Developed using modern machine learning technologies, the assessment aortic PWV models taking into account the ethnic factor can be a useful tool for processing and analyzing data in predictive studies.…”
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    Article
  2. 1802

    Developing a prognostic nomogram for primary thyroid lymphoma: insights from a large retrospective study by Ying Gao, Jinmiao Wang, Weijie Tao, Shoujun Wang, Hai Xie, Ran Duan, Jie Hao, Ming Gao

    Published 2025-04-01
    “…This study aims to develop a nomogram to predict overall survival (OS) rates in PTL patients, addressing the gap in personalized treatment protocols. Methods We analyzed 1469 PTL cases. Cox regression analyses were used to identify key prognostic factors and construct a survival prognostic nomogram. …”
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  3. 1803

    Development and validation of prediction model for vitamin D deficiency in Chinese college students (a dynamic online nomogram predicting vitamin D deficiency for Chinese college s... by Yingyi Luo, Chunbo Qu, Guyanan Li, Qiannan Di, Shangzhen Ding, Ruoyou Jiang, Ruotong Wang, Siyuan Wang, Lixin Na

    Published 2025-04-01
    “…Totally 1,667 freshmen from 26 provinces, autonomous districts or municipalities were analyzed. A LASSO regression model was used to select predictors and the significant factors were used to construct the logistic regression model expression and the nomogram. …”
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    Article
  4. 1804

    Factors influencing the resilience of rural agricultural and retail Micro, Small and Medium Enterprises in Midlands Province of Zimbabwe by Felix Tete, Laurine Chikoko, Conrad Murendo

    Published 2024-12-01
    “…To addresses this gap in the literature, this article analyzes factors influencing the resilience of rural agricultural and retail MSMEs. …”
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    Article
  5. 1805

    Quantifying impacts of climate and land use changes on ecosystem services from statistic perspective by Wei Jiang, Zhongguo Shu, Yihe Lv, Xukun Su, Xing Wu, Cong Wang, Kai Wang, Siqi Sun, Guohua Liu

    Published 2025-03-01
    “…However, the assessment approach in the existing studies highly depended on scenarios and modeling, which is unable to distinguish the influences of different land use types and different climate characteristics and to quantify the absolute influence levels of multiple driving factors. Here, we adopted the partial correlation analysis for quantifying relationships between ecosystem services and the seemingly unrelated regression model for assessing impacts of climate and land use changes on ecosystem services. …”
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  6. 1806

    Peripheral Eosinophil Count May Be the Prognostic Factor for Overall Survival in Patients with Pancreatic Ductal Adenocarcinoma Undergoing Surgical Treatment by Wojciech Ciesielski, Izabela Kupryś-Lipińska, Anna Kumor-Kisielewska, Oliwia Grząsiak, Julia Borodacz, Sebastian Niedźwiecki, Piotr Hogendorf, Adam Durczyński, Janusz Strzelczyk, Alicja Majos

    Published 2024-11-01
    “…EOS < 0.1 G/l (vs. ≥0.1 G/l) was an independent prognostic factor for OS in both the uni- and multivariate Cox regression, respectively (HR = 1.48, <i>p</i> = 0.035 and HR = 1.57, <i>p</i> = 0.021). (4) Conclusions: Peripheral eosinophilia seems to be a potential independent prognostic factor. …”
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  7. 1807

    High expression of Kruppel-like factor 4 as a predictor of poor prognosis for cervical cancer patient response to radiotherapy by Hai-Xia Liu, Na Li, Li Wei, Fu-Xing Zhou, Rui Ma, Feng Xiao, Wei Zhang, Ying Zhang, Yan-ping Hui, Hui Song, Bi-Liang Chen

    Published 2017-06-01
    “…The associations of Kruppel-like factor 4 expression with clinicopathological parameters were analyzed. …”
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    Article
  8. 1808

    An exploration of the spatial and temporal factors influencing industrial park vitality using multi-source geospatial data by Xiao Ding, Fang Zheng, Guifen Lyu, Botao Feng

    Published 2025-08-01
    “…To address this issue, this study combines the spatial regression and multi-scale geographically weighted regression models to systematically analyze the spatial and temporal variations of multidimensional vitality in industrial parks of Shenzhen city. …”
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    Article
  9. 1809

    Investigation and analysis of factors related to sleep conditions during the acute withdrawal period of alcohol use disorder by Xu Liu, Xiangqi Kong, Xu Chen, Xu Chen

    Published 2025-05-01
    “…The use of multiple linear regression to analyze factors related to sleep disorders.ResultsCompared to the control group, AUD patients exhibited significantly reduced total sleep time, sleep efficiency, and rapid eye movement (REM) sleep, along with increased snoring frequency and duration. …”
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  10. 1810

    An Analysis of Factors Influencing African Indigenous Vegetable Farmers’ Bargaining Power: A Case Study from Zambia by Zhigang Yu, James Simon, Burhan Özkan, Emmanuel Van Wyk, Huiping Xu, Ramu Govindasamy

    Published 2024-01-01
    “…We used the ordered logistic regression model (OLRM) to analyze the influence of several factors that contribute to farmers’ bargaining power, and then used the interpretative structural modeling (ISM) to analyze the relationship and hierarchical structure between the effects. …”
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  11. 1811

    Composite cardiovascular risk factor control in US adults with diabetes and relation to social determinants of health: The All of Us research program by Frances Golden, Johnathan Tran, Nathan D. Wong

    Published 2025-03-01
    “…Statistical methods included Chi-square tests for categorical comparisons, t-tests for mean differences, and multiple logistic regression to assess the impact of demographic and socioeconomic factors on risk factor control. …”
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    Article
  12. 1812

    IMPACT OF SELECTED MACROECONOMIC INDICATORS ON THE WARSAW STOCK EXCHANGE INDEX – THE FOOD INDUSTRY by Firlej Krzysztof, Marcin Stanuch

    Published 2025-03-01
    “…Furthermore, the causality analysis indicated that certain macroeconomic variables, including GDP, retail sales, and industrial production, significantly influence the stock exchange index. While the regression model effectively identified the key factor affecting the dependent variable, its limited explanatory power suggests the necessity of incorporating additional variables for a more comprehensive analysis.…”
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  13. 1813

    Prevalence and Risk Factors of Anemia Among Conflict-Affected Populations in Sudan: A Cross-Sectional Study by Ibrahim Nagmeldin Hassan, Mohamed Ibrahim, Ahmed Abdulsamad

    Published 2025-01-01
    “…The study also considered socio-economic status, dietary intake, and healthcare access. We analyzed the data using SPSS version 26.0. We used descriptive statistics to determine the prevalence and severity of anemia, and logistic regression was employed to identify predictors of anemia among the study population. …”
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  14. 1814

    Healthcare workers’ willingness to receive COVID-19 booster dose and associated factors in the Democratic Republic of the Congo by Bertin Mindje Kolomba, Francois Kalenga Luhembwe, Deca Blood Banza Ndala, Pacifique Kanku Wa Ilunga, Paul Ciamala Mukendi, Amide Ngongo Kitenge, John Ngoy Lumbule, Elie Kilolo Ngoy, Antoine Umba Ilunga, Judith Mbidi Miema, Christelle Kalikat Mwavita, Guillaume Ngoy Mwamba, Aime Cikomola Wa Bene, Audry Mulumba Wakamba, Alain Ngashi Ngongo, Michel Kabamba Nzaji

    Published 2024-12-01
    “…The aims of this study were to assess healthcare workers’ intention to receive the booster dose of COVID-19 vaccine and to identify predictive factors among healthcare workers. A cross-sectional study was conducted among healthcare workers selected in two provinces, Kasai Oriental, and Haut-Lomami. …”
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    Article
  15. 1815
  16. 1816

    Vaccine Acceptance Among Pregnant Women in Israel During COVID-19: Influences and Decision-Making Factors by Noa Feldman, Michal Bitan, Maya Alayev, Orna Tal

    Published 2024-12-01
    “…Perceived risks varied: Whooping Cough was seen as the greatest threat to newborns, while COVID-19 posed the highest risk to mothers. Analyzing maternal and neonatal disease perception using multivariable linear regression, we found that information on maternal and neonatal Flu, Whooping Cough, and COVID-19 was significantly positively correlated with disease perception for each condition. …”
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  17. 1817

    Dominant Factors Affecting the Level of Awareness of Sanitation Hygiene Implementation in Micro, Small and Medium Enterprises (MSMEs) by Suryani Suryani, Dwi Faqihatus Syarifah Has, Zufra Inayah, Sestiono Mindiharto

    Published 2024-03-01
    “…The purpose of this study was to analyze what factors influence the level of awareness of the application of sanitation hygiene. …”
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    Article
  18. 1818

    Factors Influencing Job Burnout and Musculoskeletal Disorders among Coal Miners in the Xinjiang Uygur Autonomous Region by Huijun Deng, Dingsheng He, Fuye Li

    Published 2021-01-01
    “…The Chinese version of “Musculoskeletal Questionnaire” and “Occupational Burnout Scale” were used to investigate the link between WMSDs and job burnout. Logistic regression was conducted to analyze the factors influencing WMSDs. …”
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    Article
  19. 1819

    Analysis of risk factors of elderly patients with type 2 diabetes complicatedwith frailty and establishment of prediction model by Wang Zhuo, Zheng Haifeng, Liang Linlang

    Published 2025-03-01
    “…[Objective] To analyze the risk factors of elderly patients with type 2 diabetes complicated with frailty, and construct a nomogram. …”
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    Article
  20. 1820

    Current situation and related factors of fatigue among doctors and nurses in tertiary general hospitals in Northeast China by Bin Wang, Wenshu Yang, Yu Wang, Xu Chen, Dongmei Liu, Bao Yin, Haidong Bao, Dong Wang, Surui He

    Published 2025-03-01
    “…The survey data collected in the structured questionnaire include fatigue, general demographic characteristics, work situation, perceived stress, insomnia symptoms, workplace violence, anxiety symptoms, depressive symptoms, family function, and doctor-patient relationship. A binary logistic regression model was applied to analyze the independent influencing factors of fatigue. …”
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    Article