Showing 181 - 200 results of 3,256 for search '"\"((\\"factors AND regression analyzed\\") OR (\\"factor AND regression analysis\\"))\""', query time: 0.17s Refine Results
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  4. 184

    Analysis of the development of Oil and Gas Industry in present conditions by E. I. Larionova, T. I. Chinaeva, E. P. Shpakovskaya

    Published 2019-12-01
    “…Statistical methods of information analysis (comparative analysis, analysis of time series, correlation, and regression analysis) represent the methodological base of research.Results. …”
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    Article
  5. 185

    Epidemiology of Skin Diseases in Poland: Analysis of Prevalence and Risk Factors: A Cross-Sectional Study by Anna Kubrak, Anna Zimny-Zając, Sebastian Makuch, Łukasz Pawelec, Beata Jankowska-Polańska, Wojciech Tański, Jacek C. Szepietowski, Siddarth Agrawal

    Published 2025-06-01
    “…The prevalence of these conditions was assessed, and statistical analysis, including logistic regression, was used to evaluate associations with demographic and socioeconomic factors (age, gender, education level, and urbanization). …”
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    Article
  6. 186

    Spatial variation and predictors of anemia among women of reproductive age in Mozambique, 2022/23: a multiscale geographically weighted regression by Deresse Abebe Gebrehana, Tadesse Tarik Tamir, Gebretsadik Endeshaw Molla, Yishak Kebede, Dejen Tegegne, Solomon Gedlu Nigatu, Araya Mesfin Nigatu

    Published 2025-02-01
    “…A weighted sample of 5,907 women of reproductive age was analyzed using ArcGIS 10.7. Multiscale geographically weighted regression was employed to identify predictors of anemia.ResultsThe national prevalence of anemia among women of reproductive age in Mozambique was 51.89% (95% CI: 50.66, 53.12%). …”
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    Article
  7. 187
  8. 188

    Quantitative analysis and correlation evaluation on taste quality of green tea by Chen Meili, Tang Desong, Gong Shuying, Yang Jie, Zhang Yingbin

    Published 2014-11-01
    “…The equation based on stepwise regression analysis had good predictive ability for the taste quality and total quality, and the right ratios for taste score and total quality score were 79% and 83% respectively. …”
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  9. 189
  10. 190

    Comparative Analysis of Factors Affecting the Prognosis of Patients with Atrial Fibrillation According to the Results of the REKUR-AF Study by I. L. Polshakova, S. V. Povetkin

    Published 2019-11-01
    “…To conduct a comparative analysis of the significance of the influence of various factors and their combinations on the survival of patients with atrial fibrillation (AF) in the REKUR-AF study.Material and methods. …”
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    Article
  11. 191

    Comprehensive Analysis of the Driving Forces Behind NDVI Variability in China Under Climate Change Conditions and Future Scenario Projections by Ao Li, Shuai Yin, Nan Li, Chong Shi

    Published 2025-06-01
    “…Partial least squares (PLS) regression analysis was then used to examine the relationship between NDVI and driving factors, and the contribution of these factors to NDVI variation was determined through the variable importance in projection (VIP) score. …”
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  12. 192

    Factors influencing the cure of pseudolithiasis: a retrospective study of 264 patients by Leijiao Deng, Jie Deng

    Published 2025-02-01
    “…These findings provide a systematic analysis of potential predictive factors associated with the complete resolution of pseudobiliary stones, offering preliminary evidence for further optimization of personalized treatment strategies. …”
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  13. 193

    Unveiling Patient Satisfaction: Analysis of Factor Influencing Patient-Centered Care At Bunda Margonda Hospital by Putu Agus Sujana Putra, NLP Dina Susanti, Made Rismawan, Made Dian Shanti Kusuma

    Published 2025-08-01
    “…In the non-BPJS group, age (p = 0.029) and marital status (p = 0.024) were significant factors. Logistic regression analysis revealed that length of stay was the most influential factor for BPJS patients (aOR = 2.3; p = 0.023), whereas marital status was the primary factor for non-BPJS patients (aOR = 1.3; p = 0.024). …”
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  14. 194

    Time series analysis of dengue incidence and its association with meteorological risk factors in Bangladesh. by Kazi Estieque Alam, Md Jisan Ahmed, Ritu Chalise, Md Abdur Rahman, Tasnia Thanim Mathin, Md Ismile Hossain Bhuiyan, Prajwal Bhandari, Delower Hossain

    Published 2025-01-01
    “…Monthly reported dengue cases were analyzed using time series forecasting techniques and multivariate Poisson regression models. …”
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  15. 195

    Risk factors analysis of 90-day mortality in patients with sepsis in intensive care unit. by Yuntian Xu, He Zhang, Jiezhi Li, Nan Wang, Huifeng Yuan

    Published 2025-01-01
    “…<h4>Method</h4>This retrospective study included 123 sepsis patients admitted to a hospital in China from January 2015 to December 2018, clinical and abdominal CT data were compared between survivors and non-survivors, logistic regression and Cox regression analyses were performed on the abdominal CT data, Finally, survival curves for different skeletal muscle indices were analyzed using the Kaplan-Meier (K-M) method.…”
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  16. 196

    Analyzing Influencing Factors of Uterine Rupture in Pregnant Women with Scarred Uterus Undergoing Repeat Delivery and Evaluating the Predictive Value of Lower Uterine Anterior Wall... by Zhang L, Li T, Zhang P, Li C

    Published 2025-08-01
    “…Liying Zhang,1,&amp;ast; Ting Li,1,&amp;ast; Pengming Zhang,1 Chunjuan Li2 1Department of Ultrasound Medicine, Zhangjiakou First Hospital, Zhangjiakou, Hebei Province, 075000, People’s Republic of China; 2Department of Obstetrics and Gynecology, Chongli Hospital, Peking University Third Hospital, Beijing, 076350, People’s Republic of China&amp;ast;These authors contributed equally to this workCorrespondence: Ting Li, Email tgps643@163.comObjective: To analyze influencing factors of uterine rupture in pregnant women with a scarred uterus undergoing repeat delivery and to investigate the predictive value of transabdominal ultrasound measurement of lower uterine anterior wall thickness.Methods: A retrospective analysis of 159 pregnant women with scarred uterus (March 2022–May 2024) divided into rupture group (n=48) and non-rupture group (n=111). …”
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  17. 197

    Implicative Statistical Analysis to Identify Prognostic Factors for Mortality from Lymphomas in Children and Adolescents by Mayelyn Rodríguez Estenger, Nelsa María Sagaró del Campo, Larisa Zamora Matamoros, Evelyn Yolanda Fundichely Vázquez

    Published 2023-01-01
    “…<br /><strong>Conclusion:</strong> the implicative statistical analysis is a technique that complements the binary logistic regression in the identification of prognostic factors, which allows a better understanding of causality.…”
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  18. 198

    Optimized machine learning algorithms with SHAP analysis for predicting compressive strength in high-performance concrete by Samuel Olaoluwa Abioye, Yusuf Olawale Babatunde, Oluwafikejimi Abigail Abikoye, Aisha Nene Shaibu, Bailey Jonathan Bankole

    Published 2025-07-01
    “…SHapley Additive exPlanations (SHAP) analysis revealed cement content and curing age as the most significant factors affecting compressive strength. …”
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  19. 199

    Analysis of factors driving HPV vaccination coverage and associated cost savings in the united States by Shanshan Wang, Sanjana Muthukrishnan, Sabiha Quddus, Susan H. Manning, Heather M. Brandt

    Published 2025-08-01
    “…It also aimed to assess the potential cost savings from implementing certain recommended policy changes, aiming to boost HPV vaccination rates and subsequently lower HPV-related cancer cases. Methods We analyzed publicly available data on population demographics (e.g., children’s public insurance coverage status, parental education, and rurality), policy, and access (e.g., Medicaid income eligibility criteria for children, state-level vaccine requirement, vaccine exemption status, access to pediatricians, access to Vaccine for Children (VFC) providers, and meningococcal conjugate vaccine uptake among adolescents) to quantify the impact of these factors on HPV vaccination coverage using a multilevel regression analysis. …”
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  20. 200

    Analysis of influencing factors and predictive model construction for platelet transfusion efficacy in hematological patients by Yu Zou, Tianhua Jiang, Yue Fan, Simin Liang, Long Lin, Mao Zheng

    Published 2025-08-01
    “…Potential PTR-related factors were initially identified through univariate analysis, followed by multivariate logistic regression to determine independent risk factors. …”
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