Showing 1,421 - 1,440 results of 3,256 for search '"\"((\\"factor AND regression analysis\\") OR (\\"factors AND regression analyzed\\"))\""', query time: 0.18s Refine Results
  1. 1421

    Patterns of lifestyle and their associations with anxiety symptoms among adolescents in Liaoning Province, China: a latent class analysis by Qiyu Li, Le Chang, Liuyuan Li, Luyao Huang, Beibei Sun, Wenhui Fan, Shuhua Zhang

    Published 2025-07-01
    “…The lifestyles were classified using Latent Class Analysis (LCA), and an unordered multinomial logistic regression was performed to analyze the impact of different types of adolescent lifestyles on anxiety.ResultsA total of 11,449 students were analyzed, and the prevalence of anxiety symptoms among adolescents is 32.62%. …”
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  2. 1422
  3. 1423

    Age outweighs race in survival of sebaceous gland carcinoma of the eyelid: A 21-year SEER database analysis by Said Yaseen, Ahmad Sermed Al Sakini, Sara Al-Banna, Alaa H. Ewida, Mohammad Hamad, Mahmoud M. Abu Tafesh, Leen Abu Rabi, Hashem Abu Serhan

    Published 2025-07-01
    “…The Log-Rank test found no statistically significant survival differences by race (P = 0.075). Multivariate analysis identified advanced age (≥70 years) as a strong independent prognostic factor for decreased survival (hazard ratio = 4.50, CI: 2.67–7.59: p < 0.001). …”
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  4. 1424

    TGF-beta1 gene polymorphism in association with diabetic retinopathy susceptibility: a systematic review and meta-analysis. by Lei Liu, Jinghua Jiao, Yu Wang, Jingyang Wu, Desheng Huang, Weiping Teng, Lei Chen

    Published 2014-01-01
    “…Publication bias was estimated using Begg's funnel plots and Egger's regression test.<h4>Results</h4>A total of three studies were included in the meta-analysis and all included studies analyzed patients with type 2 diabetes. …”
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  5. 1425
  6. 1426

    Association analysis between circulating methylmalonic acid and cognitive performance: a population-based cross-sectional study by Chao Wang, Chao Wang, Wenwei Guo, Yan Xue, Yan Xue, Li Xu, Li Xu

    Published 2025-06-01
    “…The results of univariate linear regression analysis showed a very significant negative correlation between square roots (sqrt) of MMA and cognitive scores (B = −0.47, p &lt; 0.001). …”
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  7. 1427

    Comprehensive pan-cancer analysis identified SLC16A3 as a potential prognostic and diagnostic biomarker by Ping Yang, Jiayu Yin, Gongyin Zhang, Xiaofeng Li, Tongtong Chen, Wanying Zhao, Jinhai Tang, Li Lv, Xiupeng Lv

    Published 2025-04-01
    “…Moreover, upregulated SLC16A3 expression was linked to poor OS and PFI of certain cancers. Cox regression analysis further indicated that SLC16A3 is a risk factor for patients with PAAD, CESC, LUSC, LUAD, CHOL, LGG, MESO, and OSCC. …”
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  8. 1428
  9. 1429
  10. 1430
  11. 1431

    Expression profile and prognostic relevance of immune infiltration-related RBMS1 in gliomas: a multidimensional integrative analysis by Yang Zhang, Ying Zhou, Sunfu Zhang, Liangxue Zhou

    Published 2025-07-01
    “…Cox regression analysis confirmed that RBMS1 was an independent prognostic factor for OS (P = 0.028, HR = 1.845, 95% CI: 1.068–3.188), along with WHO grade and metastasis. …”
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  12. 1432
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  14. 1434

    Predictive value of preclinical models for CAR-T cell therapy clinical trials: a systematic review and meta-analysis by Sebastian Kobold, Carsten Marr, David Andreu-Sanz, Lisa Gregor, Emanuele Carlini, Daniele Scarcella

    Published 2025-06-01
    “…While the logistic regression model accurately predicted clinical outcomes based on clinical or preclinical features (Macro F1 and area under the curve (AUC)&gt;0.8), it failed in predicting preclinical outcomes from preclinical features (Macro F1&lt;0.5, AUC&lt;0.6), indicating that preclinical studies may be influenced by experimental factors not accounted for in the model.Conclusion These findings underscore the need to better understand the experimental factors enhancing the predictive accuracy of mouse models in preclinical settings.…”
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  15. 1435

    Verification of optimal position of shelf graft for acetabular dysplasia using finite element analysis and virtual surgery model by Yohei Yukizawa, Emi Kamono, Shu Takagawa, Shota Higashihira, Hyonmin Choe, Yutaka Inaba, Naomi Kobayashi

    Published 2025-08-01
    “…Results Among the 1215 shelf models across 15 cases, 284 (23.3%) demonstrated a stress reduction exceeding 10%. Multiple regression analysis showed that the center-edge angle was the strongest factor associated with postoperative stress reductio n (p < 0.001). …”
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  16. 1436
  17. 1437

    Characterizing Research Hotspots and Trends in Simulation-Based Training in Obstetrics and Gynecology 1961-2024: A Bibliometric Analysis by Xie H, Li Y, Zhang P, Zhu W

    Published 2025-06-01
    “…A zero-inflated negative binomial regression model was developed to identify factors associated with total citations.Results: The number of publications showed an upward trend between 1961 and 2024, with an annual growth rate of 7.35%. …”
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  18. 1438

    Patterns of claims and determinants of claim rejections in Kuwait's National Health Insurance for Retirees (AFYA): a comprehensive analysis by Abdullah I. Alibrahim, Abdullah I. Alibrahim, Abdullah I. Alibrahim, Abdullah I. Alibrahim, Hisham Kelendar, Abdulaziz Alhenaidi

    Published 2025-07-01
    “…Kuwait's AFYA program, launched in 2016 for retirees, provides a valuable opportunity to study rejection patterns and identify the demographic and service-level factors that influence denial rates in a rapidly evolving high-income context.MethodsThis retrospective study analyzed 4.44 million AFYA claims from 2016 to 2023. …”
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  19. 1439

    Impact of Population Size and Aging on the Efficiency of Cancer Screening in Japanese Municipalities: Insights from Data Envelopment Analysis by Koshi Takahashi, Sho Nakamura, Yu Ogasawara, Masahiko Sakaguchi, Kaname Watanabe, Hiroto Narimatsu

    Published 2025-08-01
    “…After applying inclusion criteria, 1593 municipalities were analyzed. Program efficiency was measured using Data Envelopment Analysis (DEA), with inputs including the number of public health nurses, medical institutions, and healthcare expenditure per target population. …”
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  20. 1440

    Effects of Antibiotic De-Escalation on Outcomes in Severe Community-Acquired Pneumonia: An Inverse Propensity Score-Weighted Analysis by Diego Viasus, Gabriela Abelenda-Alonso, Juan Bolivar-Areiza, Carlota Gudiol, Jordi Carratalà

    Published 2025-07-01
    “…After adjusting for confounding factors in an inverse propensity score-weighted analysis, de-escalation within 3 or 6 days after admission was not associated with increased mortality risk (adjusted odds ratio [aOR] 1.48, 95% confidence interval [CI] 0.29–7.4; <i>p</i> = 0.63, and aOR 0.57, 95% CI 0.14–2.31, <i>p</i> = 0.43, respectively). …”
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