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  1. 1481

    Association of P2X7 polymorphisms on Type 2 diabetes mellitus susceptibility and diabetic complications. by Guoni Huang, Jing Cheng, Wenfeng Liu, Tong Yang, Tao Ye, Qian Zhang, Qi Chen, Yuzhong Xu

    Published 2025-01-01
    “…Different genotype and allele frequencies were compared by Pearson's χ2 tests and logistic regression analysis.<h4>Results</h4>Three P2X7 SNPs were found to be associated with T2DM risk. …”
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  2. 1482

    Travel Behavior Changes after COVID-19 Outbreak in Taiwan by Rong-Chang Jou, Chen-Siang Yeh, Ke-Hong Chen

    Published 2022-01-01
    “…Therefore, we conducted a survey from April 24 to May 2, 2020, to obtain data on Taiwanese people’s travel behavior before and after the outbreak of COVID-19. Two models, logistic regression and ordered logit models, were used. …”
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  3. 1483

    The Association between Platelet Glycocalicin and High Microsatellite Instability in Colorectal Cancer by Zeng-yao Liu, Qing-chun Jia, Wen Wang, Yu-xi Liu, Rui-tao Wang, Jia-yu Li

    Published 2022-01-01
    “…After controlling for potential confounders, logistic regression analysis revealed that glycocalicin levels were independently associated with MSI-H CRC. …”
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  4. 1484

    Incidence of Keratoconus and Its Association with Systemic Comorbid Conditions: A Nationwide Cohort Study from South Korea by Jong Youn Moon, Jesang Lee, Yoon Hyung Park, Eun-Cheol Park, Si Hyung Lee

    Published 2020-01-01
    “…After 1 : 5 matching using propensity scores, associations between keratoconus and certain systemic comorbidities were determined using multivariate logistic regression analysis. Results. The incidence during the same period was 15.1 cases per 100,000 person-years. …”
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  5. 1485

    Improvement of Hand Hygiene Practices among the Healthcare Workers in a Neonatal Intensive Care Unit by Abdullahel Amaan, Sanjoy Kumer Dey, Khainoor Zahan

    Published 2022-01-01
    “…A significant reduction in the frequency of inadequate HH (20.2 to 9.7%, p = .000) was documented. In logistic regression analysis, compliance to HH was found more after the intervention (aOR = 13.315, 95% CI: 7.248–24.458). …”
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  6. 1486

    Association between Helicobacter pylori Infection and Risk of Osteoporosis in Elderly Taiwanese Women with Upper Gastrointestinal Diseases: A Retrospective Patient Record Review by Shih-Chun Lin, Malcolm Koo, Kun-Wei Tsai

    Published 2014-01-01
    “…Association between H. pylori infection and osteoporosis was evaluated using multivariate logistic regression analysis. Results. Of the 365 patients with a mean age of 77.3 years, 77 (21.1%) had H. pylori infection and 101 (27.7%) had been diagnosed with osteoporosis. …”
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  7. 1487

    Frequency and characteristics of anemia in hypothyroid patients: A cross-sectional study by Abdullah S. Babaker, Reem M. Al-Qahtani

    Published 2025-01-01
    “…Categorical variables were presented as frequencies and percentages while continuous variables were described by mean and standard deviation. Multiple logistic regression was applied to determine the risk factors for hypothyroidism. …”
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  8. 1488

    SIRI and SII as potential biomarkers of disease activity and lupus nephritis in systemic lupus erythematosus by Chi-Hui Yang, Xin-Yi Wang, Yi-Hui Zhang, Ning Ding

    Published 2025-01-01
    “…SII had the largest area under the ROC curve for predicting LN (AUC: 0.6775, 95%CI: 0.6020 - 0.7531). Logistic regression analysis showed SIRI and SII as independent risk factors for LN. …”
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  9. 1489

    Prevalence and Associated Factors of Peer Victimization (Bullying) among Grades 7 and 8 Middle School Students in Kuwait by Ahmad J. Abdulsalam, Abdullah E. Al Daihani, Konstantinos Francis

    Published 2017-01-01
    “…After adjusting for confounding, logistic regression identified the significant associated factors related to bullying. …”
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    Article
  10. 1490

    Predictors of Sleep Apnea in the Canadian Population by Ina van der Spuy, Gaungming Zhao, Chandima Karunanayake, Punam Pahwa

    Published 2018-01-01
    “…Covariates of interest were demographic variables, population characteristics, respiratory and cardiovascular diseases, and enabling resources. The multiple logistic regression model adjusted for the clustering effect was used to analyze the data. …”
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    Article
  11. 1491

    APPLICATION OF MACHINE LEARNING ALGORITHMS TO EVALUATE THE UCI DATABASE IN THE CLASSIFICATION OF AUTISM SPECTRUM DISORDERS by Phạm Quang Thuận, Nguyễn Đình Thuân

    Published 2020-09-01
    “…We evaluated the data set with the SVM and Random Forest algorithms and also investigated the Decision Tree, Logistic Regression, K-Nearest-Neighbors, Naïve Bayes, and Multi-Layer Perceptron (MLP) algorithms. …”
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  12. 1492

    BUSINESS-TO-BUSINESS ADAPTATION – CUSTOMER PERSPECTIVE by Grzegorz Leszczyński

    Published 2013-12-01
    “…On the other hand, one third of smaller businesses adapt to their key suppliers, mainly in the financial and logistical dimension.…”
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  13. 1493

    Global Attractivity of Positive Periodic Solutions of Delay Differential Equations with Feedback Control by Zhi-Long Jin

    Published 2007-01-01
    “…When these results are applied to the periodic logistic equation with several delays and feedback control, some new results are obtained.…”
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  14. 1494

    Asymptotic behavior of a class of nonlinear difference equations by Stevo Stevic

    Published 2006-01-01
    “…Stević (2003), and it is applied to some classes of mathematical biology models, for example, generalized Beverton-Holt stock recruitment model, flour beetle population model, mosquito population equations, and discrete delay logistic difference equation.…”
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  15. 1495
  16. 1496

    Enhancing predictive accuracy for urinary tract infections post-pediatric pyeloplasty with explainable AI: an ensemble TabNet approach by Hongyang Wang, Junpeng Ding, Shuochen Wang, Long Li, Jinqiu Song, Dongsheng Bai

    Published 2025-01-01
    “…Feature engineering was initially performed, followed by a comparative analysis of five machine learning algorithms (Logistic Regression, SVM, Random Forest, XGBoost, and LightGBM) and the deep learning TabNet model. …”
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  17. 1497

    Association between Serum Cystatin C and Diabetic Foot Ulceration in Patients with Type 2 Diabetes: A Cross-Sectional Study by Jie Zhao, Wuquan Deng, Yuping Zhang, Yanling Zheng, Lina Zhou, Johnson Boey, David G. Armstrong, Gangyi Yang, Ziwen Liang, Bing Chen

    Published 2016-01-01
    “…The association between serum CysC and DFU was explored by binary logistic regression analysis. The cut point of CysC for DFU was also evaluated by receiver operating characteristic (ROC) curve. …”
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  18. 1498

    Factors Associated with Uncontrolled Hypertension among Renal Transplant Recipients Attending Nephrology Clinics in Nairobi, Kenya by Mary N. Kubo, Joshua K. Kayima, Anthony J. Were, Seth O. McLigeyo, Elijah N. Ogola

    Published 2015-01-01
    “…Independent factors associated with uncontrolled hypertension were determined using logistic regression analysis. Results. 85 subjects were evaluated. …”
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  19. 1499

    Association of homocysteine and uric acid with type 2 diabetes mellitus: a case-control study by Xiaolong Yang, Qiuqiu Lan, Qingan Wang, Yixuan Xue, Jiaxing Zhang, Xiaoxia Li, Yi Zhao, Yuhong Zhang

    Published 2025-01-01
    “…A total of 1250 diabetic patients and 1250 non-diabetic controls were included in this case-control study. Binary logistic regression and interaction analysis were used to evaluate the association between Hcy, UA, and T2DM, and the combined effects of Hcy and UA on T2DM, respectively. …”
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  20. 1500

    Association between atherogenic index of plasma and type 2 diabetic complications: a cross-sectional study by Yue-Yang Zhang, Yue-Yang Zhang, Yue-Yang Zhang, Yue-Yang Zhang, Yue-Yang Zhang, Xiao-Yu Yang, Xiao-Yu Yang, Xiao-Yu Yang, Xiao-Yu Yang, Xiao-Yu Yang, Qin Wan, Qin Wan, Qin Wan, Qin Wan, Qin Wan

    Published 2025-02-01
    “…Following the relevant inclusion and exclusion criteria, a total of 3,094 patients were enrolled for subsequent analysis. In this study, logistic regression, restricted cubic splines, and subgroup analyses were employed to evaluate the association between the AIP and four major complications of type 2 diabetes, namely, type 2 diabetes with carotid atherosclerosis (DA), diabetic kidney disease (DKD), diabetic retinopathy (DR), and diabetic peripheral neuropathy (DPN).ResultsThe logistic regression results demonstrate that in the fully adjusted model, each SD increase in AIP correlates with an elevated risk of type 2 diabetic kidney disease (DKD), with the risk of kidney damage intensifying alongside higher AIP groupings. …”
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