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  1. 4821

    Factors Associated with Maternal Near Miss among Women Admitted in West Arsi Zone Public Hospitals, Ethiopia: Unmatched Case-Control Study by Fikadu Nugusu Dessalegn, Feleke Hailemichael Astawesegn, Nana Chea Hankalo

    Published 2020-01-01
    “…Data were entered Epi data 3.1 and then transferred into SPSS 20 for analysis. Multivariable logistic regression was used, and the significance level was declared at p value ≤ 0.05. …”
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  2. 4822

    Development and validation of a prediction model for acute kidney injury following cardiac valve surgery by Xiaotong Jia, Jun Ma, Zeyou Qi, Dongni Zhang, Junwei Gao

    Published 2025-01-01
    “…Patient demographics, including medical history and perioperative clinical information, were acquired, and patients were classified into one of two cohorts, AKI and non-AKI, according to the Kidney Disease: Improving Global Outcomes (KDIGO) guidelines. Using binary logistic stepwise regression analysis, we identified independent AKI risk factors after cardiac valve surgery. …”
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  3. 4823

    Electrocardiographic Frontal QRS-T Angle Is Independently Associated with the Presence of Celiac Disease and Disease Duration by Betül Ayça Yamak, İbrahim Ethem Güven, Mustafa Candemir

    Published 2025-01-01
    “…A positive correlation between the disease duration and fQRS-T was also demonstrated (r = 0.478, <i>p</i> < 0.001). Multivariable logistic regression identified QRS interval (OR: 1.060, 95% CI: 1.032–1.088, <i>p</i> < 0.001) and frontal QRS-T angle (OR: 1.028, 95% CI: 1.013–1.043, <i>p</i> < 0.001) as independent predictors of CD. …”
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  4. 4824

    Prevalence of Intestinal Parasites and Associated Factors Among Public Primary Second‐Cycle Schoolchildren in Debre Markos Town, Northwest Ethiopia: A Cross‐Sectional Study by Abtie Abebaw, Gebreselassie Demeke, Hylemariam Mihiretie Mengist, Mengistu Endalamaw, Gizew Damtie Demeke

    Published 2025-01-01
    “…A single stool specimen was collected from the study participants and processed using direct wet mount and formol ether concentration technique. Binary logistic regression models were applied to assess the association between independent and outcome variables at a 95% confidence level. …”
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  5. 4825

    Episodic Cancer Pain: Patient Reporting, Prevalence, and Clinicodemographic Associations at Initial Cancer Pain Clinic Assessment by Paulo Reis-Pina, Anand Acharya, Antonio Barbosa, Peter G. Lawlor

    Published 2020-01-01
    “…Clinicodemographic variables’ association with S-BTcP and S-IcP was examined in logistic regression analyses. Results. Of 371 participants, 308 (83%) had episodic CP by history alone; 140 (37.7%) and 181 (48.8%) had S-BTcP and S-IcP, respectively. …”
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  6. 4826

    The Impact of EGDT on Sepsis Mortality in a Single Tertiary Care Center in Lebanon by Christopher El Khuri, Gilbert Abou Dagher, Ali Chami, Ralph Bou Chebl, Tarek Amoun, Rana Bachir, Batoul Jaafar, Nesrine Rizk

    Published 2019-01-01
    “…A multivariate analysis using logistic regression for the outcome in-hospital mortality after adjusting for protocol use and other confounders was done and AOR was obtained for the protocol use. 28-day mortality, ED, and hospital length of stay were compared between the two groups. …”
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  7. 4827

    Prevalence, Antimicrobial Susceptibility Pattern of Bacterial Isolates, and Associated Factors of Urinary Tract Infections among HIV‐Positive Patients at Hiwot Fana Specialized Uni... by Dadi Marami, Senthilkumar Balakrishnan, Berhanu Seyoum

    Published 2019-01-01
    “…Data were analyzed using Statistical Package for the Social Sciences version 21.0. The logistic regression models were used to explore the predictors of the outcome. …”
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  8. 4828

    Determinants of Success in Revision Cochlear Implant Surgeries: A Comprehensive Evaluation of Patient, Surgical, and Radiological Factors by Sarah Alshehri, Thikra Khalid Hamdi Alasmari

    Published 2025-01-01
    “…Statistical analyses, including multivariate logistic regression, were conducted to identify independent predictors of surgical success. …”
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  9. 4829

    Risk factors and early prediction of cardiorenal syndrome type 3 among acute kidney injury patients: a cohort study by Hui Lin, Xiaoyu Guo, Mengzhu Wang, Xiaole Su, Xi Qiao

    Published 2024-12-01
    “…Risk factors for CRS type 3, identified by logistic regression, informed the construction of a predictive nomogram. …”
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  10. 4830

    Seroprevalence and Associated Risk Factors of Infectious Bovine Rhinotracheitis (IBR) and Animal Owners’ Knowledge, Attitude and Practice (KAP) Towards the Disease in Selected Dist... by Abdisa Mitiku Danu, Abriham Kebede Deresa, Chala Guyassa Dinagde

    Published 2024-11-01
    “…Competitive enzyme‐linked immunosorbent assay (ELISA) was used for testing glycoprotein antibodies (anti‐gB) for bovine herpes virus‐1 (BoHV‐1) virus in collected serum, and the obtained data were analysed by multiple logistic regressions by using R software 3.62 version. …”
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  11. 4831

    Prevalence and factors associated with adverse pregnancy outcomes in South Africa: Evidence from the 2016 Demographic and Health Survey by L Mpolokeng, A Musekiwa

    Published 2024-06-01
    “…We described the sociodemographic characteristics of the study participants and determined the prevalence and factors associated with adverse pregnancy outcomes using the multivariable logistic regression model. We adjusted all our analyses for complex survey sampling using survey weights. …”
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  12. 4832

    Mitigating bias in AI mortality predictions for minority populations: a transfer learning approach by Tianshu Gu, Wensen Pan, Jing Yu, Guang Ji, Xia Meng, Yongjun Wang, Minghui Li

    Published 2025-01-01
    “…Gradient Boosting Machines (GBM) produced mixed results, showing accuracy and precision improvements for Non-Hispanic Black and Asian groups, but declines for the Hispanic/Latino and American Indian groups, with the most significant decline in precision, which dropped from 0.4612 to 0.2406 in the American Indian group. Logistic Regression (LR) demonstrated minimal changes across all metrics and groups. …”
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  13. 4833

    Analysis of community older adult care facility construction and demand differentiation based on residential area and population attribute differences by Yanzhe Liu, Yaolei Wang, Guiping Guo, Tubao Yang, Tubao Yang, Yupeng Liu, Hongmei Gao, Tiejian Jiang, Xiangmin Li

    Published 2025-02-01
    “…No significant difference existed in different housing prices for daytime care, nighttime care, mental comfort, and fitness activities (p &gt; 0.05), but there was statistical difference for rehabilitation care, medical care, chess and card entertainment, senior dining halls, and artistic activities (p &lt; 0.05). According to logistic regression analysis, the income level, self-care ability, and education level had obvious impacts on their basic needs for life care, with OR values of 11.68, 2.621, and 1.792, respectively. …”
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  14. 4834

    Hispanic Patients Undergoing Spinal Fusion for Neuromuscular Scoliosis Sustain Health Inequalities by Armando S. Martinez, David Momtaz, Travis Kotzur, Alexandra McLennan, Abdullah Ghali, Farhan Ahmad, Ebubechi Adindu, Alan C. Santiago-Rodriquez, Ali Seifi, Brian Smith

    Published 2025-01-01
    “…In addition to ANOVA, Chi-Squares, and t-tests, multiple-linear and multiple-logistic regression models were designed and run to generate adjusted odds ratios. …”
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  15. 4835

    Determinants of rural practice among a cohort of dental professionals in Australia by Santosh Kumar Tadakamadla, Sudheer Babu Balla, Jyothi Tadakamadla, Libby Semmens, Sarah Down, Carol McKinstry, Jane Mills

    Published 2025-01-01
    “…The majority were female (56.7% dentists and 81.7% OHTs), 11.3% (dentists) and 21.6% (OHTs) of the graduates originated from rural and remote areas, 16.6% (dentists) and 18% (OHTs) from regional areas, and 72.1% (dentists) and 60.4% (OHTs) from metropolitan areas. Multinomial logistic regression analyses for dentists and OHTs identified that , having a regional background, or having a rural or remote background were the most significant predictors for regional, rural/remote practice over metropolitan areas. …”
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  16. 4836

    Sexually transmitted infections and associated factors among Wollo University students, Northeast Ethiopia by Hilina Ayalew, Gedefaw Abeje, Elsabeth Addisu, Natnael Kebede, Ayalew Hassen Mohammed

    Published 2024-09-01
    “…Descriptive statistical analysis and binary logistic regression were utilized to identify factors associated with STIs. …”
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  17. 4837

    Contemporary Results of Transcatheter Aortic Valve Replacement in Obese Patients by T. Owais, M. El Garhy, P. Lauten, M. Haensig, H. Lapp, P. C. Schulze, T. Kuntze

    Published 2020-01-01
    “…Even after considering the confounding risk factors, BMI ≥ 25 kg/m2 was independently associated with reduced 1 year mortality (odds ratio (OR): 0.36, 95% confidence interval (CI): 0.21–0.6; P=0.01) in multivariate logistic regression analysis. The rate of vascular complication was higher in patients with BMI ≥ 25 kg/m2. …”
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  18. 4838

    Characterizing avocado production systems for Ugandan exports: the need for consolidation and support for sustainable development by Peter Sseruwagi, Peter Sseruwagi, Edouard Lehmann, Paul Sigombe, Gabriel Ddamulira, Jan Willem Van Casteren, Pieterjan De Bauw

    Published 2025-02-01
    “…Descriptive statistics, multivariate logistic regression, and ANOVA were used to assess the impact of farm and field characteristics on production practices and access to advisory services and certification. …”
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  19. 4839
  20. 4840

    Are breast cancer patients with low distress at diagnosis at risk of psychological symptoms later in their disease trajectory? Considerations for when to screen for distress by Rikke Langballe, Birgitte Mertz, Niels Kroman, Thomas Maltesen, Susanne Rosthøj, Pernille Envold Bidstrup

    Published 2025-01-01
    “…We used latent class mixed models to identify sub-groups of patients with similar development in distress, anxiety, depression, breast cancer-specific health-related quality of life, self-efficacy, and fear of recurrence over time. Logistic and multinomial regression analyses were applied to examine clinical and sociodemographic factors associated with specific symptom trajectories. …”
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