Showing 5,801 - 5,820 results of 6,806 for search '"\"((\\"factor AND regression analysis\\") OR (\\"factors AND regression analyzed\\"))~\""', query time: 0.28s Refine Results
  1. 5801

    Relationship between nutritional assessment and nutritional risk screening in hospitalized children with cerebral palsy: a single-center prospective study by Jixun Zhao, Yuyang Qiu, Junmeng Su, Huiqun Wang

    Published 2025-07-01
    “…Multivariate logistic regression analysis revealed that older age, lower albumin (ALB) concentration, and MACS grade II were independent influencing factors for malnutrition. …”
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  2. 5802

    Estimation of Japanese encephalitis virus infection prevalence in mosquitoes and bats through nationwide sentinel surveillance in Indonesia. by Ajib Diptyanusa, Elisabeth Siti Herini, Soedarmanto Indarjulianto, Tri Baskoro Tunggul Satoto

    Published 2022-01-01
    “…Maps were generated to analyze the JE virus distribution pattern. Logistic regression analysis was done to identify risk factors of JE virus transmission. …”
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  3. 5803

    Two-years mothering into the pandemic: Impact of the three COVID-19 waves in the Argentinian postpartum women's mental health. by Agustín Ramiro Miranda, Ana Veronica Scotta, Mariela Valentina Cortez, Elio Andrés Soria

    Published 2025-01-01
    “…Statistical analyses included multivariate logistic regression, analysis of variance, and structural equation modeling to test for temporal trends in mental health indicators during the pandemic and to identify their determinants. …”
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  4. 5804

    TOMATO PRODUCTION AND PRICE IN THE EUROPEAN UNION by Haluk Çağlar KAYMAK, Adem AKSOY

    Published 2025-01-01
    “…The study employs data from the Eurostat database and various scientific sources to analyze production trends and price indices, using graphical and regression analyses to assess the impact of these factors. …”
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  5. 5805

    Association of coagulation-related indicators with postoperative venous thromboembolism occurrence in patients with pituitary tumors by Yi Xiang, Ya Wu, Huan Liu, Zheng Chen, JinYu Pan

    Published 2025-05-01
    “…Abstract This study aimed to analyze risk factors for postoperative VTE in pituitary tumor resection patients, focusing on coagulation indicators and their predictive value. …”
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  6. 5806

    Examination of Lower and Upper Extremity Isokinetic Strength Parameters and Speed Performance of Water Polo Athletes by Ebru Özer, Recep Soslu

    Published 2021-08-01
    “…Right and left shoulder internal / external rotator, right and left knee flexion/extension isokinetic force measurements (60° sec-1 and 180° sec-1) and 25m swimming speed measurements were measured. Linear regression analysis was used to analyze the data, p lt;0.05 was taken as a significance level. …”
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  7. 5807

    Clinical Significance and Functional Insights of Tesmin in Hepatocellular Carcinoma by Lijun Cao, Lin Zhang, Siyu Liu, Xue Wang

    Published 2024-01-01
    “…For survival analysis, we employed the Kaplan–Meier method and conducted Cox regression analyses. …”
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  8. 5808

    Peripheral blood metabolic composite score based on peripheral blood metabolism can be used as an assessment of recurrence after surgery in patients with locally advanced gastric c... by Ning Meng, Zhiqiang Wang, Yaqi Peng, Xiaoyan Wang, Wenju Yue, Le Wang, Jingxia Lv, Jingxia Lv, Jingxia Lv, Wenqian Ma, Wenqian Ma, Wenqian Ma

    Published 2025-04-01
    “…Peripheral blood metabolic indicators, including low-density lipoprotein/high-density lipoprotein (LHR), cholesterol/high-density lipoprotein (TCHR), triglycerides/high-density lipoprotein (TGHR), and triglycerides × fasting blood glucose (TyG), were used to assess metabolic status. Multivariable regression and survival analysis were performed to assess the prognostic value of these markers. …”
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  9. 5809

    Integration of Machine Learning and Wavelet Algorithms for Processing Probing Signals: An Example of Oil Wells by Zukhra Abdiakhmetova, Zhanerke Temirbekova

    Published 2025-01-01
    “…However, one of the major technical challenges in processing digital sounding signals is the complexity of wave propagation paths, which can be influenced by multiple factors such as subsurface heterogeneity, noise interference, and signal attenuation. …”
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  10. 5810

    The relationship between serum uric acid and accelerated aging in middle-aged and older adults: a prospective cohort study based on CHARLS by Weiyi Shi, Zihong Cai, Xiaoxu Ren, Juehan Wang, Hang Zhou, Zuobing Chen

    Published 2025-03-01
    “…Biological age was estimated using the Klemera-Doubal method, and accelerated aging was determined by calculating the difference between an individual's biological age and their chronological age. Logistic regression models were employed to analyze the relationship between baseline SUA levels, their trajectories, and accelerated aging, adjusting for potential confounding factors. …”
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  11. 5811

    Purchase Decision of Club Brand Mineral Water: The Influence of Price, Quality, and Promotion in Jabodetabek by Remi Ramdani, Fendi Saputra

    Published 2025-03-01
    “…The study sample consists of 125 respondents who are Club mineral water consumers in Jabodetabek, selected using purposive sampling. Data analysis was conducted through respondent characteristic tests, descriptive statistical analysis, multiple linear regression analysis, normality tests, t-tests, F-tests, and hypothesis testing. …”
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  12. 5812

    Angiotensin-Converting Enzyme-2 (ACE-2) with Interferon-Induced Transmembrane Protein-3 (IFITM-3) Genetic Variants and Interleukin-6 as Severity and Risk Predictors among COVID-19... by Amal F. Makled, Sahar A. M. Ali, S. S. Eldahdouh, Asmaa S. Sleem, Maha M. Eldahshan, Yara Elsaadawy, Samar S. Salman, Asmaa Mohammed Elbrolosy

    Published 2023-01-01
    “…The ACE-2 rs2285666 and IFITM-3 rs12252 SNPs were genotyped using the TaqMan probe allelic discrimination assay, and the serum IL-6 level was determined by ELISA. Logistic regression analysis was applied to analyze the association between ACE-2 and IFITM-3 genetic variants, IL-6 profile, and COVID-19 severity. …”
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  13. 5813

    Association of lysosomal protein transmembrane 4 beta gene polymorphism with pancreatic carcinoma susceptibility in the Chinese population by Bing Wang, Shan Wang, Guowei Liang, Jianjun Xu, Rouli Zhou, Qingyun Zhang

    Published 2017-05-01
    “…In order to improve the dismal survival rate, identification of new potential susceptibility risk factors for the prevention and early detection of pancreatic carcinoma is of utmost importance. …”
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  14. 5814

    Association between 25(OH) vitamin D and schizophrenia: shared genetic correlation, pleiotropy, and causality by Guo-Wei Rong, Guo-Wei Rong, Xiao-Min Li, Xiao-Min Li, Xiao-Min Li, Hui-Min Lu, Ming-Zhu Su, Ming-Zhu Su, Yi Jin, Yi Jin, Yi Jin

    Published 2024-12-01
    “…Hyprcoloc analysis was used to explore shared genetic factors between 25OHD, immune cells, and SCZ, complemented by a bidirectional Mendelian Randomization (MR) to probe potential causal links.ResultsWe identified a significant negative genetic correlation between 25OHD levels and SCZ. …”
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  15. 5815

    Impact of Antiaggregant and Anticoagulant Medications on Perioperative Complications in Upper Tract Urothelial Carcinoma by Kang Liu, Chris Ho-Ming Wong, Hongda Zhao, Chi Fai Ng, Jeremy Yuen-Chun Teoh, Pilar Laguna, Jean de la Rosette

    Published 2025-05-01
    “…Multivariable logistic regression demonstrated that AA was not an independent risk factor for either intraoperative complications (odds ratio 0.93, 95% confidence interval [CI] 0.48–1.83; p = 0.84) or postoperative complications (odds ratio 0.93, 95% CI 0.66–1.30; p = 0.66). …”
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  16. 5816

    Lightning-induced vulnerability assessment in Bangladesh using machine learning and GIS-based approach by Tanmoy Mazumder, Md. Mustafa Saroar

    Published 2025-01-01
    “…Lightning, especially prevalent during April to June, is a significant threat in Bangladesh, causing fatalities, injuries, and economic losses. By analyzing spatiotemporal patterns of lightning and casualties, and incorporating meteorological, geographical, and socio-economic factors into ML models (Random Forest, Multinomial Logistic Regression, Support Vector Machine, and Artificial Neural Networks), this research provides a nuanced understanding of lightning impacts. …”
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  17. 5817

    The prognostic value of AST-lymphocyte ratio index in liver cancer patients treated with TACE: a systematic review and single-center retrospective study by Yali Tian, Lina Ma, Shuaiwei Liu, Xiaoyang Bai, Nawaz Shah, Le Zhang, Xia Wang, Yuxi Zhang, Xiangchun Ding

    Published 2025-05-01
    “…Multivariate Cox regression analysis revealed that number of tumors, tumor size and ALRI were all independent prognostic factors for OS (ALRI HR = 6.456, 95%CI: 2.247–18.55, P < 0.01). …”
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  18. 5818

    Prognostic value of the pre-treatment SUVmax of 18F-FDG PET/CT combined with peripheral absolute lymphocyte in patients with newly diagnosed extranodal natural killer/T-cell lympho... by Xingmei Lu, Kate Huang, Peng Li, Yida Li, Xiuhuan Ji, Suidan Chen, Jianmin Li

    Published 2025-06-01
    “…Survival analysis was performed using the Kaplan-Meier method and log-rank test, while independent prognostic factors were identified through Cox regression analysis. …”
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  19. 5819

    Study on the mechanism of family resilience on loneliness in older adults with stroke by Hui Ju, Hui Ju, Yanli Dong, Ju Liu, Jing Mu, Lei Ge, Jie Chen

    Published 2025-05-01
    “…Data were collected using the UCLA Loneliness Scale, Family Resilience Assessment scale, Positive Psychological Capital scale, Family APGAR Index, and Social Support Rating Scale. Using one-way analysis of variance and multiple linear regression equation to analyze the influencing factors of loneliness in older adults with stroke; Construct a structural equation model to explore the pathways of social support, family function and psychological capital in the relationship between family resilience and loneliness.ResultsThe average loneliness score among older adults with stroke was (35.07 ± 15.24). …”
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  20. 5820

    The impact of parental absence on the mental health of middle school students in rural areas of Western China by Xiaohong Ren, Cen Lin, Lu Pan, Qiuyue Fan, Dapeng Wu, JinLong He, Ping He, Jiaming Luo

    Published 2025-03-01
    “…Specifically, the combined impact of divorce and left-behind children (DLC) creates a synergistic effect, resulting in psychological risks (OR = 1.623–1.725, all p &lt; 0.001), that are significantly higher than those associated with either factor individually (LBC/DC). Further analysis identified additional risk factors, including senior high school (OR = 1.486, p &lt; 0.001), boarding school (OR = 1.155, p = 0.037), and girls (anxiety OR = 1.213, p &lt; 0.001), all showing significant associations with adverse mental health outcomes.ConclusionOur study underscores significant mental health risks associated with diverse patterns of parental absence among adolescents in the Sichuan region. …”
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