Showing 861 - 880 results of 6,805 for search '"\"((\\"factors AND regression analyzed\\") OR (\\"factor AND regression analysis\\"))~\""', query time: 0.34s Refine Results
  1. 861

    The more the better? The effect of person-job fit on work engagement by Juliana Barreiros Porto, Lígia Carolina Oliveira-Silva, Elis Calcagno Martins

    Published 2019-10-01
    “…A sample of 341 workers responded to the Engagement at Work and Work Design scales. Confirmatory factor analysis, polynomial regression, and response surface analysis were used to test the hypotheses. …”
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    Article
  2. 862

    Impact of dementia on post-hip fracture walking ability: a stratified analysis based on pre-fracture mobility in Swedish cohorts of older adults by Philip D. G. Burenstam Linder, Dorota D. Religa, Fredrik Gustavsson, Maria Eriksdotter, Margareta Hedström, Sara Hägg

    Published 2024-11-01
    “…All patients > 60 years who suffered a hip fracture in Sweden between 2010 and 2018 were included. Binary logistic regression was used to analyze the loss of walking ability after the hip fracture with adjustment for confounding factors. …”
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  3. 863

    Travel time prediction for Two-Lane Two-Way undivided carriageway road Section- A case study by Sanjay Luitel, Pradeep Kumar Shrestha, Hemant Tiwari

    Published 2025-05-01
    “…This study aims to develop a travel time prediction model for a 13 km corridor, specifically a two-lane, two-way, undivided rural highway section of the East-West Highway. By analyzing 72-hour datasets on vehicle travel time obtained from traffic volume counts, the study evaluates the performance of machine learning regression techniques, incorporating factors such as through traffic volume, opposing traffic volume, and the percentage of heavy vehicles in through traffic. …”
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  4. 864

    ANALISIS FAKTOR YANG MEMPENGARUHI STATUS PENERIMAAN BERAS KELUARGA MISKIN MENGGUNAKAN REGRESI LOGISTIK BINER DI KECAMATAN LANGSA BARAT by Amelia Amelia, Fitra Mulyani, Ulya Nabilla

    Published 2020-06-01
    “…Therefore this study aims to analyze the significant factors that affect the status of rice in poor families using binary logistic regression analysis. …”
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  5. 865

    Identification of risk factors for diabetes in Chinese middle-aged and elderly adults by Shuzhen Ma, Qianqian Sun, Yanqi Xu, Qiang Tu, Simao Xu

    Published 2025-04-01
    “…Paired-sample t-tests showed significant differences between 2020 and 2018, as well as between 2018 and 2015 (P < 0.001). Logistic regression analysis identified hypertension (aOR = 0.447, 95% CI: 0.410–0.488, P < 0.001) and chronic disease (aOR = 0.024, 95% CI: 0.013–0.042, P < 0.001) as key risk factors for diabetes. …”
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  6. 866

    Epidemiology, clinical characteristics, and outcome in candidemia: a retrospective five-year analysis from two tertiary general hospitals by Tingting Liu, Shuhong Sun, Xiaosong Zhu, Hui Wu, Zhiqing Sun, Shanxin Peng

    Published 2025-04-01
    “…Data on demographic characteristics, underlying diseases, medical intervention, and antimicrobial sensitivity were collected and analyzed using SPSS version 27.0. Univariate analysis and binary logistic regression analyses were performed to identify risk factors for non-albicans Candida infections and candidemia-related mortality. …”
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  7. 867

    Changes in the Suicide Rate under the Influence of Daily Activities in EU Countries by P. A. Korotkov, A. B. Trubyanov, E. A. Zagaynova, A. I. Zverev

    Published 2020-12-01
    “…Daily activities are understood as time spent on work, household and leisure activities. In order to analyze the relation between the variables an end-to-end linear regression model arranged by all years and countries is used; the panel data structures are not taken into account in the model (as we have to deal with pseudo panel data). …”
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  8. 868

    Association Between Serum Uric Acid Levels and Skin Cancer: Results from NHANES Data and Mendelian Randomization Analysis by Niu Y, Shi S, Chen Y, Yang S, Yan P, Kou J

    Published 2025-06-01
    “…Even so, further research is needed to better understand the biological mechanisms underlying SUA’s role in skin cancer development.Keywords: observational studies, risk factor, cancer, NHANES, Mendelian randomization analysis…”
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  9. 869
  10. 870

    NRS2002 score as a prognostic factor in solid tumors treated with immune checkpoint inhibitor therapy: a real-world evidence analysis by Wanfen Tang, Chenghui Li, Dong Huang, Shishi Zhou, Hongjuan Zheng, Qinghua Wang, Xia Zhang, Jianfei Fu

    Published 2024-12-01
    “…Cox regression analysis revealed that the NRS2002 score was an independent prognostic factor for both PFS and OS. …”
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  11. 871

    Risk factor analysis and predictive model construction of lean MAFLD: a cross-sectional study of a health check-up population in China by Ruya Zhu, Caicai Xu, Suwen Jiang, Jianping Xia, Boming Wu, Sijia Zhang, Jing Zhou, Hongliang Liu, Hongshan Li, Jianjun Lou

    Published 2025-02-01
    “…Results The multivariate regression analysis indicated that the triglycerides and glucose index (TyG) was the most significant risk factor for lean MAFLD (OR: 4.03, 95% CI 2.806–5.786). …”
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  12. 872

    Risk factor analysis and prediction model development for the occurrence of sarcopenia in middle-aged and elderly men with newly diagnosed type 2 diabetes mellitus by Jing Cai, Jingmin Qiao, Yiran Liu, Hongyan Li, Caiping Lu, Ying Gao

    Published 2024-11-01
    “…Using sarcopenia in the training cohort as the outcome variable, multivariate logistic regression analysis was performed to identify independentpredictors. …”
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  13. 873

    Sarcopenia is associated with increased hip fracture risk among middle-aged and elderly Chinese adults in longitudinal analysis of CHARLS data by Sensen Huang, Le Chang, Zhenyu Cai

    Published 2025-07-01
    “…Competing risk analysis and multiple logistic regression models were employed to evaluate the association between sarcopenia and hip fracture risk. …”
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  14. 874
  15. 875
  16. 876

    Residual/recurrent lesions after cold-knife conization for high-grade cervical intraepithelial neoplasia: risk factor analysis and clinical management recommendations by Chenchun Wu, Peng Guo, Peng Guo, Pengchong Huang, Lili Guo, Lili Xiong

    Published 2025-08-01
    “…Residual/recurrent lesions after CKC (RLC) were defined as biopsy-proven CIN2/3 during follow-up, whereas residual lesions identified after a hysterectomy (RLH) were defined as lesions in patients who underwent a hysterectomy 1–6 months after CKC and were diagnosed with CIN 2/3, cervical carcinoma in situ or invasive cancer. Univariate analysis and multivariate logistic regression analyses were performed to evaluate the relationship among factors such as age, menopausal status, pregnancy, parity, transformation zone, the height of excision, glandular involvement, persistent HPV infection, HPV infection types (preoperative and postoperative), TCT test (preoperative and postoperative), postoperative margins, and endocervical curettage (ECC) results for RLC and RLH.ResultsDuring the follow-up period, 152/976 (15.57%) of the patients underwent a hysterectomy and the remaining 824 patients completed their continuous follow-up. …”
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  17. 877

    A comparative analysis of COVID-19 cases with comorbidities according to epidemiological and demographic characteristics in South Bengkulu Regency, Indonesia by Fiya Diniarti, Bintang Agustina Pratiwi, Fery Surahman, Tuti Rohani

    Published 2022-09-01
    “…Chi-square and multiple regression logistics were used for data analysis. Result: Most groups infected with COVID-19 were in the risk age range (46.6%), men (51.2%), low education (48.2%), had a record of contact with patients (54.6%), had a travel record (53.7%), had a record of social contact (51.5%) and had the highest comorbidities such as tuberculosis (36.2%). …”
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  18. 878

    Follicular lymphoma: results of multicenter study of first-line therapy with bendamustine and rituximab, risk factors for adverse events (fl-rus-2013 protocol) by E. S. Nesterova, S. K. Kravchenko, A. M. Kovrigina, E. G. Gemdzhian, L. V. Plastinina, Ya. K. Mangasarova, F. E. Babaeva, A. E. Misyurina, O. V. Margolin, A. U. Magomedova, V. I. Vorobiev, D. S. Maryin, E. A. Baryakh, Yu. Yu. Polyakov, P. A. Zeynalova, E. M. Volodicheva, N. N. Glonina, N. V. Minaeva, G. A. Davydova, V. G. Savchenko

    Published 2018-10-01
    “…The first 3 characteristics (as well as the sign «presence of extranodal foci», close to the level of significance) are independent statistically significant predictors of OS. In the single factor analysis the following characteristics (besides the above) were significant: index FLIPI (significant only 5 points against all others), bone marrow damage, β2-microglobulin (more than 2.2 mg/L), age (over 68 years) and hemoglobin (less than 110 g/dL).Conclusion 1. …”
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  19. 879

    Zinc Deficiency and Subsequent Reduction in Insulin-like Growth Factor I Are Risk Factors for Stunting among School-Aged Children in the Gaza Strip, Palestine by Eman Elian, Ihab A. Naser, Ihab M. Almasri

    Published 2023-08-01
    “…The blood sample was drawn from the pupils to analyze zinc, insulin-like growth factor (IGF-1), hemoglobin (HG), albumin, and C-reactive protein (CRP). …”
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  20. 880