Search alternatives:
\\"factor » \\"factors (Expand Search)
Showing 901 - 920 results of 1,998 for search '"\"((\\"factor AND regression analysis\\") OR (\\"factor AND regression analyzed\\"))~\""', query time: 0.13s Refine Results
  1. 901

    Analysis of the clinical characteristics of poor immunological reconstitution in AIDS patients after long-term antiviral therapy in Xinjiang, China by Kejun Pan, Maimaitiaili Wubuli, Tao Zhang, Shan Fan, Xiaobo Lu

    Published 2025-07-01
    “…Abstract Objective To investigate the clinical characteristics of poor immunological reconstitution in AIDS patients after long-term antiviral therapy in the Xinjiang region and to analyze the possible factors leading to poor immunological reconstitution. …”
    Get full text
    Article
  2. 902
  3. 903

    A random forest and SHAP-based analysis of motorcycle crash severity in Thailand: Urban-rural and day-night perspectives by Sonita Sum, Chamroeun Se, Thanapong Champahom, Sajjakaj Jomnonkwao, Sanjeev Sinha, Vatanavongs Ratanavaraha

    Published 2025-09-01
    “…The models achieved classification accuracies of 66.5 % (urban day), 64.7 % (urban night), 63.8 % (rural day), and 65.9 % (rural night), while SHAP analysis illuminated the factors driving these predictions. …”
    Get full text
    Article
  4. 904
  5. 905

    A Novel Nomogram for Predicting Survival in Patients with Severe Acute Pancreatitis: An Analysis Based on the Large MIMIC-III Clinical Database by Didi Han, Fengshuo Xu, Chengzhuo Li, Luming Zhang, Rui Yang, Shuai Zheng, Zichen Wang, Jun Lyu

    Published 2021-01-01
    “…All the data utilized in this study were obtained from the MIMIC-III (Medical Information Mart for Intensive Care III) database. The data were analyzed using multivariate Cox regression, and the performance of the proposed nomogram was evaluated based on Harrell’s concordance index (C-index) and the area under the receiver operating characteristic curve (AUC). …”
    Get full text
    Article
  6. 906

    Malaria risk mapping in the Sahel Region of Nigeria: A geospatial approach by Mohammed Baba-Adamu, Modibbo Babagana-Kyari, Mohammed Bukar Ngamdu, Usman Adamu, Ahmed Abubakar Jajere

    Published 2025-08-01
    “…Temporal trends were analyzed using regression models, while spatial patterns were examined through hotspot analysis to identify high-burden areas. …”
    Get full text
    Article
  7. 907

    The correlation between lower limb spasticity and proprioceptive dysfunction in post-stroke patients by Shiai Gao, Zifu Yu, Xihua Liu

    Published 2025-08-01
    “…Spearman correlation analysis was used to explore the correlation between MAS score and various parameters, a multiple linear regression model was constructed to analyze the influencing factors of spasticity, and the predictive performance of ultrasound parameters was evaluated by receiver operating characteristic (ROC) curve.ResultsCompared with the healthy side, the muscle fiber length, medial head pinnate angle and muscle thickness of the gastrocnemius muscle on the spasticity side were significantly reduced (p < 0.05). …”
    Get full text
    Article
  8. 908

    Prediction value of serum TMAO on myocardial injury after PCI in patients with coronary heart disease based on decision curve analysis by CHEN Guixiu,GUO Cheng,HE Lin

    Published 2025-08-01
    “…The clinical data and serum TMAO levels of the two groups were compared,and the influencing factors of myocardial injury in patients with coronary heart disease after PCI were analyzed by logistic regression. …”
    Get full text
    Article
  9. 909
  10. 910

    Comparative analysis of methods for identifying multimorbidity patterns among people with opioid use disorder: A retrospective single-cohort study. by Myanca Rodrigues, Tea Rosic, Glenda Babe, Brittany B Dennis, Alannah McEvoy, Richard Perez, Claire de Oliveira, Sameer Parpia, Zainab Samaan, Lehana Thabane

    Published 2025-01-01
    “…Sociodemographic and clinical characteristics were analyzed using modified Poisson regression models, and multimorbidity patterns were identified through HCA and K-means clustering.…”
    Get full text
    Article
  11. 911

    STAT1β modulates the tumor immune microenvironment to improve prognosis in ovarian cancer: a comprehensive study of transcriptional and protein expression differences by Ning Lan, Xintong Li, Yifan Qiao, Siyi Zhang, Min Chen, Xiaofeng Yang, Yuliang Zou, Juan Ren, Meili Pei

    Published 2025-08-01
    “…Clinical prognostic significance was analyzed using Cox proportional hazards regression models, complemented by multi-omics approaches including functional enrichment analysis, Tumor immune dysfunction and exclusion (TIDE) immune signature evaluation, and mediation effect models. …”
    Get full text
    Article
  12. 912

    Association between Serum 25-Hydroxyvitamin D Level and Stroke Risk: An Analysis Based on the National Health and Nutrition Examination Survey by Lan Wang, Shu Li, G. H. Anuja Sanika, Jinsheng Zhao, Hui Zhang, Lin Zhao, Wenfeng Wang

    Published 2021-01-01
    “…Between 2007 and 2018, the baseline information of participants from NHNES was collected. Univariate analysis was used to identify the covariates. Multivariate logistic regression model was used to analyze the association between serum 25(OH)D level and the stroke risk. …”
    Get full text
    Article
  13. 913

    Sedative exposure and mortality in intracranial hypertensive tuberculous meningitis: a cohort study with propensity-score matching and machine learning analysis by Shijuan Cui, Fazheng Shen, Jianing Liang, Fan Li, Xiangyang Wang, Xin Liu, Haigang Chang

    Published 2025-07-01
    “…This study investigates the association between sedative exposure and mortality while identifying modifiable risk factors in this vulnerable population.MethodsIn this retrospective cohort study, we analyzed 1,875 intracranial hypertensive TBM patients from the MIMIC-IV database (v2.0). …”
    Get full text
    Article
  14. 914
  15. 915
  16. 916

    The burden of migraine and predictions in the Asia–Pacific region, 1990–2021: a comparative analysis of China, South Korea, Japan, and Australia by Yun-Xia Wang, Guang-Shuang Lu, Jin-Jing Zhao, Wei Dai, Na Zheng, Guo-En Yao, Ruo-Zhuo Liu

    Published 2025-05-01
    “…Age-standardized rates (ASRs) were calculated to enable fair cross-country comparisons. Joinpoint regression analysis was applied to assess temporal trends, while Bayesian age-period-cohort (BAPC) modeling was used to project future trends until 2050. …”
    Get full text
    Article
  17. 917

    Additive interaction between hepatitis B virus infection and tobacco smoking on the risk of gastric cancer in a Chinese population by Danjing Chen, Rong Yu, Yongfeng Cai, He Zhang, Yijun Jiang, Yunli Wu, Xian-E Peng

    Published 2025-03-01
    “…The association between HBV infection and GC risk was analyzed using logistic regression and meta-analysis method was employed to make estimates more conservative. …”
    Get full text
    Article
  18. 918

    A study of the relationship and drivers between participation in sports program diversity and physical fitness by Deqiang Zhao, Xiaoxiao Chen, Aoyu Zhang, Yibei Wang, Yibo Gao, Jin He, Lupei Jiang, Yanfeng Zhang

    Published 2025-08-01
    “…Finally, ordinal logistic regression was used to analyze the influencing factors of diversity in participating sports programs.Significant correlations were observed between diversity of participation in sports programs and various physical fitness indicators across all age groups, including muscular strength, speed, endurance, and flexibility (p < 0.01). …”
    Get full text
    Article
  19. 919
  20. 920

    A risk prediction model for poor joint function recovery after ankle fracture surgery based on interpretable machine learning by Congyang Li, Chenggang Wang, Jiru Zhang, Wenjun Zheng, Jing Shi, Li Li, Xuezhi Shi

    Published 2025-06-01
    “…The lasso-stacking model had the best performance. SHAP analysis showed that functional exercise compliance, combined ligament injury, and open fracture accounted for the largest proportion of SHAP values and were the most important influencing factors.ConclusionThrough evaluation and comparison of the developed models, the lasso-stacking model demonstrated the best performance and is more suitable for predicting joint function recovery after ankle surgery. …”
    Get full text
    Article