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Showing 1,181 - 1,200 results of 1,998 for search '"\"((\\"factor AND regression analysis\\") OR (\\"factor AND regression analyzed\\"))~\""', query time: 0.14s Refine Results
  1. 1181

    Novel Composite Scoring System for Predicting Prognosis in Stage IV Gastric Cancer Patients Treated with Immune Checkpoint Inhibitors by Yang L, Li H, Xia M, Pu X

    Published 2025-05-01
    “…Cox proportional hazard regression analysis was used to identify independent prognostic factors for PFS and OS.Results: By comparing the area under the ROC curve (AUC) of immune-inflammatory markers, we selected the preoperative platelet count/(lymphocyte count × prealbumin count) ratio and fibrinogen/albumin ratio to form a combined score (PLPR–FAR score). …”
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  2. 1182

    Clinical prediction model by machine learning to determine the results of maternal dietary avoidance in food protein-induced allergic proctocolitis infants by Jing Li, Meng-yao Zhou, Yang Li, Xue Wu, Xin Li, Xiao-li Xie, Li-jing Xiong

    Published 2025-05-01
    “…Additionally, we aimed to develop a predictive model using machine learning techniques to forecast the results of maternal dietary restrictions.MethodsThe clinical data of FPIAP infants were retrospectively analyzed. The FPIAP infants were divided into two groups based on the results of maternal dietary restriction, and an analysis was conducted to identify the influencing factors. …”
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  3. 1183

    Predictive effect and clinical diagnosis significance of exosome-related genes for nonalcoholic fatty liver disease-related hepatocellular carcinoma by Xiaoqian Ding, Ling Li, Keqing Feng, Jie Zhang, Baokai Sun, Xueru Chu, Qi Zhang, Likun Zhuang

    Published 2025-07-01
    “…We performed univariate and multivariate Cox regression analysis and found that risk score was an independent prognostic factor (HR = 1.75, 95% CI:1.20–2.54, p < 0.01). …”
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  4. 1184

    Enhancing Humanitarian Supply Chain Resilience: Evaluating Artificial Intelligence and Big Data Analytics in Two Nations by Emmanuel Ahatsi, Oludolapo Akanni Olanrewaju

    Published 2025-05-01
    “…Structured questionnaires assessed the implementation of four key AI-BDA techniques: Time-Series Forecasting (TSF), Early Warning Systems (EWS), Logistics Optimization (LO), and Real-time Monitoring (RTM). Exploratory factor analysis and regression analysis were conducted to evaluate the relationship between these techniques and supply chain resilience, controlling for organizational size and technological readiness. …”
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  5. 1185

    Calculating TIN-Based 3D Sight Distance and Its Evaluation on Drivers Free-Flow Speed by Ali Sahaf, Ali Abdoli, Abolfazl Mohamadzadeh Moghaddam

    Published 2021-01-01
    “…Finally, using nonlinear regression modeling a logical relationship was determined and extracted between the three factors of driver’s free-flow speed, 3D stopping sight distance, and curvature change rate of the path.…”
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  6. 1186

    NHANES 2005–2018 data reveal high albumin-bilirubin scores are associated with depression by Qing-Zhong Li, Jia-Xin Tan, Guo-Tian Ruan, Quan-Zhi Qin, Teng Deng, Yi-Zhen Gong

    Published 2025-07-01
    “…Weighted multivariable logistic regression models were constructed to analyze the association between ALBI and depression, adjusting for potential covariates. …”
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  7. 1187

    Preoperative Spino Cranial Angle Predicts Adjacent Segment Degeneration After Single-Level Anterior Cervical Discectomy and Fusion by Li Y, Cheng P, Zhang X, Cheng C

    Published 2025-07-01
    “…Multivariate logistic regression and Receiver operating characteristic (ROC) curve analysis were performed to identify independent predictors of ASD.Results: ASD occurred in 36 patients (36.7%). …”
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  8. 1188

    Establishment of a prediction model for major adverse cardiovascular and cerebrovascular events in prehypertensive patients by HE Zhi,an,LAI Jiangqiong,ZHENG Tao

    Published 2025-07-01
    “…Multivariate logistic regression analyses was performed to identify risk factors. …”
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  9. 1189

    Relationship between extracellular matrix metalloproteinase inducer and myocardial ischemic reperfusion injury by WANG Na,CHEN Changzheng,SHI Yankun,YANG Zhihua,FAN Jun,YANG Lixia

    Published 2025-07-01
    “…Multivariate binary logistic regression was used to analyze the independent risk factors related to MIRI. …”
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  10. 1190

    Derivation of Soil Moisture using Modified Dubois Model with field assisted surface roughness on RISAT-1 data by Thanabalan Palanisamy, Vidhya R

    Published 2018-01-01
    “…The dielectric constant derived from MDM in combination with the Topps model proposed by (Topp 1980), is used to derive satellite-based soil moisture estimation. Linear regression analysis was performed, and the soil moisture derived from SAR are well correlated with the volumetric soil moisture showing the value of r2 = 0.63.…”
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  11. 1191

    Predictive model of school dropout in higher education through Learning Analytics with Neutrosophic Plithogenic Hypotheses by David Núñez, Purificación Galindo-Villardón

    Published 2025-07-01
    “…Statistical methods with information extraction through logistic regression, factor analysis and HJ-Biplot were employed, complemented by a neutrosophic plithogenic hypothesis approach to model uncertainty in predictor variables, showing clarity regarding students who could drop out. …”
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  12. 1192

    Choosing efficient production diversification in digitalization conditions by D. V. Abramov

    Published 2023-12-01
    “…The purpose of the article is to analyze and identify promising methods of diversification formation in order to achieve the maximum efficiency. …”
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  13. 1193

    Investigating the Effect of Normative Pressure on the Level of Adjustment between Ahvaz Youth and Their Parents with an Emphasis on Generation Gap by Daryoush Rezapour, mohammad bagher koopai

    Published 2020-08-01
    “…However, there was no significant relationship between employment status and youth gender with the dependent variable. Step-wise regression analysis showed that the variable of normative pressure and the youth’ use of mass media were the most influential factors on the level of generation gap and inconsistency between youth and their parents, respectively…”
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  14. 1194

    Association between perceived neighborhood environment, sedentary behavior, walking, and moderate-to-vigorous physical activity and frailty: an isotemporal substitution model by Hee-kyoung Nam, Chang Won Won, Miji Kim, Sung-il Cho

    Published 2025-07-01
    “…Frailty as the response variable was defined using the Fried frailty phenotype. Multinomial regression was performed to analyze the outcome. The Isotemporal Substitution Model (ISM) was applied to examine the effects of replacing sedentary behavior with physical activity. …”
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  15. 1195

    Association between the serum uric acid-to-creatinine ratio and cardiovascular mortality in maintenance hemodialysis patients by Wanqing Huang, Ning Ding, Yanping Zhang, Dongxia Qiu, Lin Wei, Chen Zhao, Zhuo Ren, Qian Wang, Kaiming Ren, Jiuxu Bai, Ning Cao

    Published 2025-12-01
    “…Restricted cubic splines were used to plot the relationships between SUA/SCr and all-cause and cardiovascular mortality. Multivariable Cox regression was used to analyze the relationships between SUA/SCr and the risk of all-cause death or cardiovascular death. …”
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  16. 1196

    Spatiotemporal Patterns of Vegetation Coverage and Its Response to Land-Use Change in the Agro-Pastoral Ecotone of Inner Mongolia, China by Hao Liu, Ya Na, Yatang Wu, Zhiguo Li, Zhiqiang Qu, Shijie Lv, Rong Jiang, Nan Sun, Dongkai Hao

    Published 2025-06-01
    “…This study focuses on the agro-pastoral transitional zone of Inner Mongolia, aiming to analyze vegetation cover changes from 2000 to 2020 using the Mann–Kendall (MK) significance test, Theil–Sen median trend analysis, and coefficient of variation (CV) analysis. …”
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  17. 1197

    Mindfulness, rejection sensitivity and resilience in patients with thalassemia: a survey in Southeastern Iran by Asma Ghonchehpour, Batool Tirgari, Mahlagha Dehghan, Atefeh Ahmadi, Mansooreh Azizzadeh Forouzi

    Published 2025-08-01
    “…Additionally, rejection sensitivity had a negative significant correlation with resilience (p &lt; 0.001, r = -0.32). Linear regression analysis was used to assess the predictive relationships between variables. …”
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  18. 1198

    Optimizing antibiotic duration and percutaneous nephrostomy timing in urosepsis complicated by upper ureteral stones: a retrospective study by Jen-Ting Hsu, Chia-Min Lin, Shun-Fa Hung, Shiu-Dong Chung, Pai‑Yu Cheng

    Published 2025-07-01
    “…The afebrile group received longer antibiotic therapy (7.1 vs. 5.7 days, p = 0.022) and had shorter postoperative hospital stays (3.1 vs. 5.3 days, p = 0.015). Logistic regression analysis showed that antibiotic duration and the interval from PCN to URSL were significant predictors of fever. …”
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  19. 1199

    Navigating pressure and connection: goal orientation, coach-athlete relationships, and burnout among Chinese collegiate athletes—a mixed-methods study by Le Wang, Hongye Lian

    Published 2025-07-01
    “…The quantitative phase surveyed 346 athletes (Mage = 20.6 years) across five Chinese provinces using the TEOSQ (Task and Ego Orientation in Sport Questionnaire), CART-Q (Coach-Athlete Relationship Questionnaire), and RED-A (Reduced Exhaustion Depression and Reduced Accomplishment Scale). Data were analyzed using hierarchical regression. The qualitative phase involved semi-structured interviews with a purposive subsample of 28 diverse athletes, which underwent thematic analysis.ResultsQuantitative findings indicated that task orientation, CAR closeness, and complementarity were significant negative predictors of all burnout dimensions (p &lt; 0.05). …”
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  20. 1200

    The role and regulatory mechanism of miR-122-5p in the process of pilon fracture healing by Yang Zhang, Yingnan Li, Min Zhou, Lichang Yang

    Published 2025-07-01
    “…Methods The expression levels of miR-122-5p were examined in patients with Pilon fracture healed and nonunion, respectively. ROC analysis was employed to evaluate the diagnostic value of miR-122-5p in identifying fracture nonunion, while logistic regression identified its risk factors. …”
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