Showing 1 - 20 results of 26 for search '(("factor and regression analysis") OR ("factors and regression analyzed"))*', query time: 0.19s Refine Results
  1. 1

    Risk factors of catheter-related blood stream infection associated with chronic hemodialysis diabetics with cuffed dialysis catheter in Baoding area by Li Xiao-dong, Li Xin-yue, Li Bao-xin, Wang Xiang-dong, Tang Guan-ying

    Published 2021-01-01
    “…P<0.05 was deemed as statistically significant and multi-factor Logistic regression analysis was performed. Results There were 26 cases of CRBSI with an incidence rate of 2.4 thousand duct day; 29 strains of pathogenic bacteria were detected with predominantly Staphylococcus aureus(34.48%),followed by Staphylococcus epidermidis and Pseudomonas aeruginosa(13.79%). …”
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  2. 2

    Machine learning-based brain magnetic resonance imaging radiomics for identifying rapid eye movement sleep behavior disorder in Parkinson’s disease patients by Yandong lian, Yibin Xu, Linlin Hu, Yuguo Wei, Zhaoge Wang

    Published 2025-07-01
    “…Additionally, multi-factor logistic regression analysis identified clinical predictors associated with PD-RBD, and these clinical features were integrated with the radiomics signatures to develop predictive models using various machine learning algorithms. …”
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  3. 3

    Modeling and statistical analysis of the impact of environmental factors on aquatic biodiversity by Kozlova Anastasia, Solovieva Tatiana, Kurashkin Sergei, Bricotnin Maxim, Kandaurova Natalia

    Published 2025-01-01
    “…The work employed correlation, factor, and regression analysis methods, which revealed significant relationships between ecological characteristics and amphibian species abundance. …”
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  4. 4

    Internet addiction and its influencing factors among middle school students in Hunan province: a cross-sectional study by Fei WANG, Lixi QIN, Zhuoga NIMA, Yaqing TAN, Miyang LUO, Yanhua CHEN, Jiayou LUO

    Published 2025-06-01
    “…The chi-square test was used to compare the differences in internet addiction detection rates between groups, and multi-factor logistic regression analysis was used to analyze the influencing factors of internet addiction. …”
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  5. 5

    From taste to recommendation: An analysis of factors shaping eWOM at gastronomic events in Vojvodina (R. Serbia) by Vukolić Dragan, Gajić Tamara, Milošević Srđan

    Published 2025-01-01
    “…Data were analysed using factor and regression analysis. The findings indicate a positive correlation between various factors, including gastronomic motivation, social and emotional experiences, pre-visit information-seeking behaviour, post-visit evaluation, and behavioural outcomes related to eWOM. …”
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  6. 6

    Association of restless legs syndrome with malnutrition,inflammation and sleep quality in hemodialysis patients by HUANG Hua-xing, SHEN Liang-lan, ZHANG Fen, WANG Chen, FANG Xing-xing, CHEN Dong-mei

    Published 2017-01-01
    “…Single factor Logistic regression analysis was used to analyze the related factors. …”
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  7. 7

    Predictive Value of AIP and AGR for Non-alcoholic Fatty Liver Disease and Significant Liver Fibrosis by Zhang Simin, Zhou Changyu, Shi Xianquan, Huang Lizhen

    Published 2025-06-01
    “…SPSS 27.0 and R 4.4.0 were used to analyze the data, single-factor Logistic regression analysis was applied to screen the influencing factors of NAFLD, stepwise regression was applied to screen the variables, and multi-factor Logistic regression was performed to construct the prediction model and draw the column graph. …”
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  8. 8

    Changes of serum tumor marker levels and analysis of risk factors in patients with chronic kidney disease by YU Jun-nan, LIU Cai-xia, ZHAO Nan, SUN Dong

    Published 2020-01-01
    “…Objective To investigate whether the expression of serum tumor markers in patients with chronic kidney disease(CKD)has changed,and to analyze the risk factors influencing the changes.Methods The serum tumor markers[including α-fetoprotein(AFP),carcinoembryonic antigen(CEA),CA125,CA199,CA153,TPSA],albumin(Alb),serum creatinine,hemoglobin levels,age and glomerular filtration rate(GFR)of 427 CKD patients and 420 healthy medical examiners from the Affiliated Hospital of Xuzhou Medical University were collected and compared for differences between the two groups.The relevant factors that lead to changes in tumor markers in patients with CKD were screened out by univariate analysis,and multi-factor logistic regression analysis were used to identify risk factors for elevated tumor indicators.Results There was no significant difference in serum TPSA between the CKD group and the healthy control group(P<0.05).The AFP level was lower than that of the healthy control group,and the difference was statistically significant(P<0.01).The levels of CEA,CA125,CA199,and CA153 were higher than those in the healthy control group,with statistically significantdifferences(P<0.01).Logistic regression analysis showed that decreased glomerular filtration rate was a risk factor for CEA elevation,serum albumin and hemoglobin decline were risk factors for CA125 elevation,serum albumin decrease was a risk factor for CA199 and CA153 elevation,and age was a risk factor for elevated TPSA.Conclusions The application value of TPSA in CKD patients is the same as that in the normal population.In the diagnosis of related tumors based on serum tumor indicators,a comprehensive analysis must be done in conjunction with factors such as patients’ age,renal function,serum albumin,and hemoglobin levels.…”
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  9. 9

    Predictive values of neck circumference and TyG index on polycystic ovary syndrome with metabolic syndrome by Yixuan Liu, Aihong Liu, Xiangyu Xu, Huali Wang, Qinghai Wang, Xianwei Huang, Ping Liu

    Published 2025-07-01
    “…ANOVA, multi-factor logistic regression analysis and ROC curve prediction analysis were performed. …”
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  10. 10

    Prevalence and factors associated with anxiety and depression among the older people in ethnic minority areas in southern China: a cross-sectional study by Suyi Wu, Liu Yang, Haini Mo, Li Li, Zirong Li, Yanping Ying

    Published 2025-06-01
    “…Descriptive analysis, univariate analysis, and two-factor logistic regression analysis were employed to explore the influencing factors of depression and anxiety among the older people in ethnic minority areas.ResultsThe prevalence rates of anxiety and depression were 11.42 and 15.94%, respectively. …”
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  11. 11

    RISK FACTORS FOR THE EARLY NEONATAL MORTALITY IN NEWBORNS WITH VERY LOW AND EXTREMELY LOW BIRTH WEIGHT by О. V. Lebedeva, Т. А. Chikina

    Published 2014-12-01
    “…The association of risk factors with the early neonatal mortality was assessed by means of a multiple-factor logistic regression analysis. A critical p error level was set equal to 0.05. …”
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  12. 12

    Predictive value of hemoglobin, serum PAF, and IL-17 in patients with radiation enteritis complicated with intestinal obstruction and construction and validation of predictive mode... by Meng Wang, Yang Zhao, Wenqiang Ren

    Published 2025-08-01
    “…The decision curve analysis (DCA) was used to evaluate the value of clinical application.ResultsMulti-factor Logistic regression analysis showed that diabetes, decreased hemoglobin level, increased serum PAF and IL-17 levels, CRP, were the independent risk factors for intestinal obstruction in patients with radiation enteritis (p &lt; 0.05). …”
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  13. 13

    Relevancy Prediction of the Emerging Pathogens with Porcine Diarrhea by Logistic Regression Model by Benqiang Li, Jie Tao, Xin Li, Jinghua Cheng, Ying Shi, Pan Tang, Huili Liu

    Published 2025-02-01
    “…Furthermore, multiple-factor logistic regression analysis confirmed that PAstV, PKoV, bovine viral diarrhea virus (BVDV), and PEDV were closely related to porcine diarrhea. …”
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  14. 14

    Clinicopathological Features and Prognostic Factors of Renal Cell Carcinoma in Young Patients Under 45 Years: A Single-Center Retrospective Study by Gao Y, Yan H, Zhang T, Lu G, Ma L

    Published 2025-06-01
    “…Single - factor Cox regression analysis revealed that symptoms, hypertension, clinical stage, pathological grade, and pathological type were independent risk factors for overall survival in young renal cancer patients.Conclusion: Young RCC patients present with unique clinicopathological characteristics and prognostic factors. …”
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  15. 15

    Analysis of the inflammatory storm response and heparin binding protein levels for the diagnosis and prognosis of sepsis-associated encephalopathy by Dian Yu, Jun Liu, Xiaoyun Song, Yongfeng Ao, Xiaomin Li, Yi Han

    Published 2025-02-01
    “…Subsequently, Multi-factor logistic regression analysis revealed that ultra-high IL-6 (> 5000 pg/ml), IL-10 (> 1000 pg/ml), and HBP (> 300 ng/ml) levels and elevated SOFA and APACHE-II scores were risk cytokines for the development of SAE (P < 0.05). 28-day mortality was significantly higher in patients in the SAE group and in the IL-6 > 5000 pg/ml group compared to patients in the USAE and IL-6 < 5000 pg/ml groups(P < 0.001).The four screened predictors of HBP > 300 ng/ml, IL-6 > 5000 pg/ml, decreased GCS score, and decreased APACHEII score were combined into a new predictive data model (risk score).In the SAE group, patients with high risk scores had a higher 28-day mortality rate compared with the low risk score group (P < 0.001). …”
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  16. 16

    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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  17. 17

    Predictive value of shear wave elastography and molecular subtypes for postoperative efficacy in patients with early breast cancer by Qiao-Ying Zhao, Bing Zhao, Gang Wu

    Published 2025-12-01
    “…Logistic regression analysis identified the elastic modulus value (odds ratio [OR]: 5.841 [3.714–6.112], p < 0.05), Ki-67 level (OR: 3.522 [1.865–3.897], p < 0.05) and molecular subtypes (OR: 4.331 [2.552–6.714], p < 0.05) as risk factors; logistic regression analysis also performed favourably for the prediction of pCR (area under the curve: 0.922 [0.871–0.934]) in patients with BC.Conclusion Elastic modulus value, Ki-67 level and molecular subtypes are risk factors for pCR in patients with BC.…”
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  18. 18

    Effects of Scrambler Therapy in Patients with Failed Back Surgery Syndromes and Factors Associated with Depression Affecting Pain before and after the Therapy by Hayoung Byun, Min-Kyun Oh, Chang Han Lee

    Published 2020-01-01
    “…Spearman correlation analysis and Fisher’s exact test were used to confirm the correlation between BDI and other factors. Multiple regression analysis was used to identify independent factors predicting residual pain, posttherapy ODI, and posttherapy BPI. …”
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  19. 19

    The higher serum uric acid to high-density lipoprotein cholesterol ratio is associated with increased risk of chronic obstructive pulmonary disease: result from NHANES 2011–2018 by Yunjia Bao, Jiangyuan Li, Zhiyu Wang, Linxi Lv, Mingyang Zhu

    Published 2025-07-01
    “…After adjusting for interfering factors, logistic regression analysis revealed a notable correlation between UHR and COPD. …”
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  20. 20

    Risk Factors and Predictive Models for Postpartum Hemorrhage after Vaginal Delivery by Yongjuan Bi, Yanhua Zhang, Li Li, Jing Bai, Jing Li

    Published 2024-09-01
    “…Fourteen risk factors could cause increased risk of PPH, including demographic characteristics and placental anomalies factors. Logistic regression analysis was used to influence the risk factors of PPH in vaginal delivery. …”
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