Showing 2,241 - 2,260 results of 4,176 for search '"\"((\\"factor AND regression analysis\\") OR (\\"factors AND regression analyzed\\"))\""', query time: 0.16s Refine Results
  1. 2241

    Precariat and higher education by E. V. Maslyukova, V. V. Volchik

    Published 2019-12-01
    “…Objective: to analyze institutional changes in higher education which form the modern labor market; to identify the factors of forming precariat with higher education.Methods: econometric modeling (logit- and probit regression models).Results: precariat and its institutionalized forms are an important factor of socio-economic development. …”
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  2. 2242

    Control nutritional status score and platelet/lymphocyte ratio relationship with left ventricular hypertrophy in peritoneal dialysispatients by QUAN Yu-di, ZHOU Qiao, FENG Jin-hong, ZHANG Ying

    Published 2020-01-01
    “…Objective Using controlling nutritional status(CONUT) score and platelet to lymphocyte ratio(PLR),to evaluate the nutritional status and inflammation status of patients with peritoneal dialysis(PD),and analyze their relationship with left ventricular hypertrophy.Methods The patients undergoing peritoneal dialysis in Department of Nephrology,Affiliated Hospital of Xuzhou Medical University from January 2019 to May 2020 were enrolled.General patient information and laboratory indicators were collected.Cardiac color Doppler ultrasound was used to assess changes in the patient’s cardiac structure.According to the presence or absence of left ventricular hypertrophy(LVH),the patients were divided into LVH group and non-LVH group.Each indicator was compared between the two groups,and risk factors of LVH were analyzed by logistic regression method.ROC curve was used to analyze the sensitivity and specificity of PLR and CONUT in diagnosing LVH.Results(1) A total of 82 patients were included,and the incidence of LVH was 40.2%.Systolic blood pressure,uric acid,PLR and CONUT scores of the LVH group were significantly higher than those of the non-LVH group; and Hb,LVEF and Alb were significantly lower than those of the non-LVH group(P<0.05),with statistical significance.(2) Logistic regression analysis showed that systolic blood pressure,PLR and CONUT score were all risk factors affecting left ventricular hypertrophy.(3)The areas under the curve of LVH ROC curve analysis found that,the areas under the curve of LVH PLR and CONUT score predicted in PD patients were 0.743 and 0.822,respectively,and the combined prediction value was 0.855.Conclusions CONUT score and PLR are associated with LVH in peritoneal dialysis patients,and are the influencing factors of LVH.The combination between CONUT score and PLR is more valuable in predicting LVH in PD patients.…”
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  3. 2243

    Severity and Prognosis of Vascular Dementia in Patients with Acute Cerebral Infarction Combined with H-Type Hypertension and Its Correlation with Uric Acid Levels by Hong Y, Feng M

    Published 2025-06-01
    “…Based on cognitive function scores, patients were further classified into mild, moderate, and severe dementia subgroups, and differences in uric acid and homocysteine levels were analyzed. Prognosis was assessed in the observation group after three months of treatment using activities of daily living scores, and logistic regression was performed to identify prognostic factors.Results: The observation group had significantly higher blood uric acid levels than the control group (P&lt; 0.05). …”
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  4. 2244

    Association of baseline neutrophil-to-lymphocyte ratio with primary peritonitis in peritoneal dialysis patients by Hou Wen-juan, Tao Shu-man, Fang Wei-wei, Zhao Wen-man, Li Dan-dan, Liu Gui-ling

    Published 2021-01-01
    “…Objective To retrospectively analyze whether a high neutrophil-to-lymphocyte ratio(NLR)was associated with the risk of initial peritonitis in peritoneal dialysis(PD)patients.Methods A total of 119 patients with end-stage renal disease underwent PD catheterization from August 2013 to July 2018 and regular follow–ups were conducted.They were divided into the groups of high NLR(NLR≥2.65)and low NLR(NLR<2.65)according to the median baseline level of NLR.The clinical data of two groups were compared.Logistic and linear regression models were employed for analyzing the correlation between baseline serum NLR and the occurrence of initial peritonitis.The diagnostic value of NLR to PD-associated peritonitis(PDAD)was evaluated by ROC curve.Results A total of 119 patients were recruited.The incidence of peritonitis was higher in high NLR group.Univariate logistic regression revealed a higher risk of peritonitis at baseline with a high level of NLR(OR=2.555,95%CI 1.684~3.878,P<0.01)had a higher risk of peritonitis.Multivariate analysis indicated that a high baseline level of NLR(OR=2.467,95%CI 1.439~4.232,P<0.01)was an independent risk factor for peritonitis.Univariate linear regression analysis showed that a high baseline level of NLR(standardized β=-0.352,P<0.01)was negatively correlated with dialytic age;multivariate linear regression analysis indicated that a high baseline level of NLR(standardized β=-0.340,P<0.01)was an independent risk factor for dialytic age.The area under the ROC curve was 0.813 when peritonitis predicted by baseline NLR peritonitis(P<0.01)and the maximal index was 0.595(sensitivity and specificity 71.4% and 88.1% respectively).The corresponding optimal cut-off point was 3.64.Conclusions Higher serum baseline level of NLR is associated with an elevated risk of PDAP.…”
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  5. 2245

    Exploring the potential associations between single and mixed volatile compounds and preserved ratio impaired spirometry using five different approaches by Chenyuan Deng, Yu Jiang, Yuechun Lin, Hengrui Liang, Wei Wang, Ying Huang, Jianxing He

    Published 2025-09-01
    “…Additionally, the LightGBM model exhibited the highest predictive performance, with an AUC of 0.839. SHAP analysis identified race, body mass index (BMI), and 1,4-dichlorobenzene as the three most important factors. …”
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  6. 2246

    The Effect of Visual Performance in Visually Impaired Patients on General Self-Efficacy, Depression and Quality of Life by A.R Heravian Shandiz, Sh Mesbahi, M Karimpour, M Tabe, A Sayadi

    Published 2024-12-01
    “…According to the results of the regression analysis, gender was one of the factors affecting the reduction of general self-efficacy on the visual performance of visually impaired people (P =0.02). …”
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  7. 2247

    The effect of teacher leadership and school climate on students’ learning outcomes by Carolus Patampang, Patrio Tandiangga, Frans Fandy Palinoan

    Published 2024-05-01
    “…The data obtained were then analyzed using the Multiple Linear Regression analysis technique. …”
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  8. 2248

    The Effect of Atopic History on Occupational Contact Dermatitis in Sugarcane Farmers by Dwi Nurwulan Pravitasari, Ratna Wulandari, Fadilatul Khusna Amalla, Miranti Dewi Pramaningtyas, Muhammad Luthfi Adnan

    Published 2024-12-01
    “…The population of this study was sugarcane farmers in Pakisjajar Village, Malang Regency, with a sample size of 60 people using the total sampling method. Data analysis using a questionnaire and analyzed by SPSS using a logistic regression statistical test. …”
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  9. 2249

    Predicting Radiation Esophagitis in Patients Undergoing Synchronous Boost Radiotherapy Post-Breast-Conserving Surgery by Huai-wen Zhang, Yi-ren Wang, Jingao Li, Wei Huang, Bin Xu, Hao-wen Pang, Chun-ling Jiang

    Published 2025-04-01
    “…SHAP algorithm was used for model interpretation, offering insights into the major contributory factors. Seven significant variables were identified by Lasso regression. …”
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  10. 2250

    Development of a nomogram for predicting the risk of carcinoma in chronic atrophic gastritis by Jia-Yi Zhang, Ding Li, Guo-Jie Hu

    Published 2025-05-01
    “…Methods Using medical records from the Affiliated Hospital of Qingdao University, common laboratory indicators were extracted. LASSO regression identified 10 core risk factors, which were further analyzed using binary logistic regression to develop a nomogram model in R. …”
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  11. 2251

    Preoperative inflammatory markers and tumor markers in predicting lymphatic metastasis and postoperative complications in colorectal cancer: a retrospective study by Huiming Wu, Yize Wang, Min Deng, Zhensheng Zhai, Dingwen Xue, Fei Luo, Huiyu Li

    Published 2025-02-01
    “…Variables were selected using Lasso regression, and independent factors influencing lymph node metastasis were identified through multivariate logistic regression analysis. …”
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  12. 2252

    A fall risk prediction model based on the CHARLS database for older individuals in China by Xue-Zhen Liang, Jin-Lian Chai, Guang-Zheng Li, Wei Li, Bo-Chun Zhang, Zhong-Qi Zhou, Gang Li

    Published 2025-03-01
    “…Thirty-eight indicators including biological factors, behavioral factors and health status were analyzed in this study. …”
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  13. 2253

    A study on the clinical value of prophylactic contralateral central lymph node dissection in patients with cT1-T2N1b unilateral papillary thyroid cancer by Suqiong Lin, Rongliang Qiu, Yujuan Tang, Xiaoquan Hong, Qiangbin Ding, Ke Li, Ende Lin, Penghao Kuang, Jinbo Fu, Jinbo Fu, Guoyang Wu

    Published 2025-07-01
    “…Multifactorial analysis was performed using logistic regression to analyze the risk factors for CCLNM in patients with cT1-T2N1b unilateral PTC. …”
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  14. 2254

    The effect of total quality management practices on innovation: evidence from selected agricultural technical and vocational education training colleges in Ethiopia by Sintayehu Assefa Yirga, Misrak Ayalew Beshir

    Published 2025-02-01
    “…The survey data were analyzed through descriptive statistics, correlation and multiple regression analysis to investigate the relationship between total quality management practices dimensions on innovation. …”
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  15. 2255
  16. 2256

    The Effect of Accessibility and Retail Service Quality on Repeat Purchase in the Traditional Store of the Consumer by Thitikarn Sirican, Chutima Wangbenmad

    Published 2025-06-01
    “…The sample consisted of 400 consumers who had made repeat purchases from traditional retail stores in the Su-ngai Kolok District, Narathiwat Province. Data were analyzed using descriptive statistics (percentage, mean, and standard deviation) and inferential statistics, specifically stepwise multiple regression analysis. …”
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  17. 2257

    To explore the association between the neutrophil percentage to albumin ratio and low bone mineral density/osteoporosis based on NHANES 2011–2018 by Tao Liu, Xianghan Hou, Yingjin Luo, Xuanang Jiang, Ke Gao, Jiale Lv, Liquan Wang, Yang Zhou, Zhijiang Fu, Zongchao Liu

    Published 2025-08-01
    “…Further multivariable regression analysis showed that, in the unadjusted model, NPAR was negatively associated with BMD. …”
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  18. 2258

    Expression and clinical significance of NLRC5 in hepatocellular carcinoma by Xiangyu Ma, Shangkun Ning, Tong Sun, Mei Liu, Jibing Liu

    Published 2024-12-01
    “…The association between NLRC5 expression levels and the main clinicopathological factors was analyzed by Chi-square test method. The prognostic values were analyzed by COX regression model and the Kaplan-Meier survival curve. …”
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  19. 2259

    Prediction of prognosis in acute ischemic stroke after mechanical thrombectomy based on multimodal MRI radiomics and deep learning by Lei Pei, Xiaowei Han, Chenfeng Ni, Junli Ke

    Published 2025-04-01
    “…Logistic regression was employed to identify the risk factors associated with poor prognosis and to construct a clinical model. …”
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  20. 2260

    Inflammatory and nutritional markers predict response and prognosis of patients with locally advanced gastric cancer receiving neoadjuvant immunochemotherapy by Yiwen Sun, Mengjie Liang, Xingzhou Wang, Wenting Dong, ZhenShui Wu, Feng Sun, Xiaofeng Lu, Feng Wang, Song Liu, Meng Wang, Shichao Ai, Xiaofei Shen, Wenxian Guan

    Published 2025-07-01
    “…Inflammatory and/or nutritional markers were compared for their efficacy on predicting patients’ pathological tumor regression response. The univariate and multivariate logistic regression were carried out to identify the independent factors for predicting pathological tumor regression response, and a predictive nomogram model was further established. …”
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