Showing 2,041 - 2,060 results of 4,047 for search '"\"((\\"factor AND regression analysis\\") OR (\\"factors AND regression analyzed\\"))\""', query time: 0.21s Refine Results
  1. 2041

    Exploring latent classes of complete blood count profiles and their association with smoking status in the Bandar Kong cohort study by Ali Mouseli, Pejman Shahrokhi, Mehdi Sharafi, Zahra Mastaneh, Abdollah Gharibzadeh, Leila Jamali, Arash Shekari

    Published 2025-07-01
    “…Abstract Smoking is a significant modifiable risk factor influencing various health outcomes, including hematologic indices. …”
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    Article
  2. 2042

    The negative linear relationship between oxidative balance scores and constipation: a cross-sectional study from NHANES 2005–2010 by Liqian Xuan, Yang Chen, Chang Liu, Yahui Dai

    Published 2024-11-01
    “…The relationship between OBS and constipation was analyzed by logistic regression, restricted cubic spline. …”
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  3. 2043
  4. 2044

    Prognostic correlation analysis of colorectal cancer patients based on monocyte to lymphocyte ratio and folate receptor-positive circulating tumor cells and construction of a machi... by Siying Pan, Chi Lu, Chi Lu, Hongda Lu, Hongda Lu, Hongfeng Zhang

    Published 2025-05-01
    “…Progression-Free Survival (PFS) and Overall Survival (OS) were analyzed using COX analysis and the Kaplan-Meier survival curve. …”
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    Article
  5. 2045

    Exploring genetic loci linked to COVID-19 severity and immune response through multi-trait GWAS analyses by Ziang Meng, Chumeng Zhang, Shuai Liu, Wen Li, Yue Wang, Qingyi Zhang, Bichen Peng, Weiyi Ye, Yue Jiang, Yingchao Song, Miao Guo, Xiao Chang, Lei Shao

    Published 2025-02-01
    “…This study aimed to explore the genetic connection between COVID-19 severity and blood cell traits, given their close relationship with immunity.Materials and methodsGWAS summary statistics for COVID-19 and blood cell counts were analyzed using Linkage Disequilibrium Score Regression (LDSC) to estimate genetic correlations and heritabilities. …”
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    Article
  6. 2046
  7. 2047

    Evaluation of arterial blood gas analysis in diagnosis of neonatal hypoxic ischemic encephalopathy (动脉血气分析在诊断新生儿缺氧性脑病中的价值) by SHI Xiaoyan (史晓燕), LIU Yanlin (刘艳林)

    Published 2021-02-01
    “…The receiver operating curve (ROC) model was used to evaluate the pH and lactic acid level in diagnosis of HIE. The univariate analysis and multiple logistic regression analysis were used to analyze potential influencing factors of HIE. …”
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  8. 2048

    Exploring the association between volatile organic compound exposure and chronic kidney disease: evidence from explainable machine learning methods by Liyan Jiang, Hongling Wang, Yang Xiao, Linlin Xu, Huoying Chen

    Published 2025-12-01
    “…This study explores the association between urinary VOC metabolites and CKD risk using a combination of epidemiological and interpretable machine learning approaches.Methods Data from the National Health and Nutrition Examination Survey (2011–March 2020 pre-pandemic) were analyzed to examine 15 urinary VOC metabolites. Analytical methods included multivariable logistic regression, LASSO regression, and five machine learning models: Logistic Regression (LR), Random Forest (RF), Extreme Gradient Boosting (XGBoost), K-Nearest Neighbors (KNN), and Multilayer Perceptron (MLP). …”
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  9. 2049
  10. 2050

    A study on the application and effect of ERAS-based refined nursing in patients undergoing radical lung cancer surgery by Fang Qi, Bin Wang, Xiangnan Li, Yan Wang, Jing Zhang

    Published 2025-05-01
    “…Evaluate the independent impact of nursing methods on these indicators through multiple linear regression. The ROC curve is used to evaluate the performance of a multi factor linear regression model.ResultThe observation group showed significant improvement in clinical index, physiological index, and comprehensive health index compared to the control group. …”
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  11. 2051

    Machine learning algorithms of riverbed change and environments of the Lower Apalachicola River by Ali R. Alruzuq, Joann Mossa

    Published 2025-04-01
    “…Using a comparative analysis of two machine learning regression models to determine the long-term riverbed change, we employed the Random Forest (RF) regression model and the Extreme Gradient Boosting regression model (XGBoost). …”
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  12. 2052

    Insights into the complex relationship between triglyceride glucose-waist height ratio index, mean arterial pressure, and cardiovascular disease: a nationwide prospective cohort st... by Jie Xu, Dihui Cai, Yuheng Jiao, Yingying Liao, Yinyin Shen, Yunli Shen, Wei Han

    Published 2025-02-01
    “…Abstract Background Both the triglyceride glucose-waist height ratio (TyG-WHtR) index and elevated arterial blood pressure are risk factors for cardiovascular disease (CVD). However, it is uncertain whether the TyG-WHtR index can increase the risk of CVD by influencing arterial blood pressure, and the extent to which the TyG-WHtR index may mediate the association between arterial blood pressure and CVD. …”
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  13. 2053

    Comparing post-acute rehabilitation use, length of stay, and outcomes experienced by Medicare fee-for-service and Medicare Advantage beneficiaries with hip fracture in the United S... by Amit Kumar, Momotazur Rahman, Amal N Trivedi, Linda Resnik, Pedro Gozalo, Vincent Mor

    Published 2018-06-01
    “…After adjusting for risk factors using IPTW-weighted fixed effects regression models, MA patients spent 5.1 (95% CI -5.4 to -4.8) fewer days in the SNF and received 463 (95% CI to -483.2 to -442.4) fewer minutes of total rehabilitation therapy during the first 40 days following SNF admission, i.e., 12.1 (95% CI -12.7 to -11.4) fewer minutes of rehabilitation therapy per day compared to FFS patients. …”
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  14. 2054

    Trajectories of depressive symptoms in middle-aged and older Chinese adults: identifying subgroups, core symptoms and predictors by Jia Fang, Wenwen Wu, Chen Yang, Huiyuan Li, Wencan Cheng, Ni Zhang, Baoyi Zhang, Ye Zhang, Meifen Zhang

    Published 2025-07-01
    “…Multivariate logistic regression explored influencing factors, while Cross-lagged panel network models (CLPN) were used to identify core symptoms. …”
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  15. 2055
  16. 2056

    In-hospital cardiac arrest (IHCA): survival status and its determinants in Malaysian public healthcare by Marhaini Mostapha, Mohd Shahri Bahari, Min Fui Wong, Sivaraj Raman, Farhana Aminuddin, Shaiful Jefri, Nur Amalina Zaimi, Nor Zam Azihan Mohd Hassan, Hin Kwang Goh, Chee Kin Yoon, Eric Tang, Meng Li Lee, Lean Wah Luah

    Published 2025-07-01
    “…Patient survival was measured from the initiation of resuscitation to discharge or death, with survival analysis performed. Factors associated with IHCA survival were explored using logistic regression. …”
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  17. 2057

    Effect of Age, Sex and Season on Acute Myeloid Leukemia Clinical Characteristics: A Retrospective Study by Wan X, Tao T, Zhang J, Li N, Gou Y, Yang W, Han X, Wu S, Zhang C, Peng X, Liu S, Zhang X

    Published 2025-02-01
    “…In order to elucidate the correlations between these factors, we performed a comprehensive data collection and analysis of AML patients in our hospital from 2013 to 2023.Methods: Totally, 2798 newly diagnosed AML patients and 220 relapsed AML patients who were admitted to our hospital from January 1, 2013 to December 31, 2023 were included for analysis. …”
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  18. 2058

    Apelin-to-total cholesterol ratio predicts long-term major adverse cardiovascular events in ST-elevation myocardial infarction patients after primary percutaneous coronary interven... by Xiaoqing Lin, Junjie Huang, Hanxiao Lin, Peiqi Chen

    Published 2025-07-01
    “…Demographic, clinical, and laboratory data were analyzed. Cox regression models assessed associations between the Apelin/TC ratio and MACEs over 30 months. …”
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  19. 2059

    Global, Regional and National Burden of Low Back Pain in Adolescents Aged 10–19 years, 1990–2021: A Systematic Analysis of the Global Burden of Disease Study 20... by Wang S, Zhang S, Li M, Chen S, Chen Y, Song Y, Zhang X

    Published 2025-06-01
    “…Shuang Wang,1,* Shouyao Zhang,1,* Min Li,1 Suyu Chen,1 Yiping Chen,1 Yongli Song,2 Xinghe Zhang1 1Second Clinical Medical College/Second Affiliated Hospital, Yunnan University of Chinese Medicine, Kunming, 650000, People’s Republic of China; 2School of Basic Medicine, Yunnan University of Chinese Medicine, Kunming, 650000, People’s Republic of China*These authors contributed equally to this workCorrespondence: Xinghe Zhang, Second Clinical Medical College/Second Affiliated Hospital, Yunnan University of Chinese Medicine, Kunming, 650000, People’s Republic of China, Tel +86 0871 6595 4563, Email doczhangxh@163.comObjective: To comprehensively analyze the levels and trends of low back pain (LBP) prevalence, incidence, and years lived with disability (YLDs) among adolescents aged 10– 19 globally from 1990 to 2021, stratified by sex and the Socio - Demographic Index (SDI), and analyze the risk factors.Summary of Background Data: LBP affects adolescents, but its global burden and trends among this age group need exploration.Methods: Estimations were carried out using the Bayesian meta-regression tool, DisMod-MR(Disease Modeling Meta-Regression) 2.1. …”
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  20. 2060

    The subtle balance of trust: how employees’ expected and perceived trust influence impression management by MinMin Zhang, Xiaodong Ma

    Published 2025-04-01
    “…To test the hypotheses, we first conducted polynomial regression analysis, followed by response surface analysis. …”
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