Showing 1,041 - 1,060 results of 1,956 for search 'Multivariate statistical analyzed', query time: 0.13s Refine Results
  1. 1041

    Effects of Vacuum and Shaking on Flavor Substances of Longnan White Tea by LI Yonghua, WU Peng, XU Jianhan, YUAN Xuexia, ZHANG Lin, GAO Rui, Bi Jingxiu, JIANG Yuying, ZHAO Tong, HAO Haining, WANG Huijun, LIU Pingxiang, WANG Yutao

    Published 2025-04-01
    “…In this study, ultra-high performance liquid chromatography-triple quadrupole-tandem mass spectrometry (UPLC-TQ-MS/MS) and full 2D gas chromatography-time of flight mass spectrometry (GC × GC-TOFMS) were used to analyze the phenolic compounds, amino acids, purine alkaloids, and volatile constituents in Longnan white tea, and multivariate statistical analyses such as principal component analysis (PCA), were used to systematically evaluate the effects of vacuum combined with shaking on the biochemical and volatile constituents of Longnan white tea. …”
    Get full text
    Article
  2. 1042

    Analysis of clinicopathological characteristics in rhabdomyosarcoma and identification of risk factors for metastasis to the lung, bone, liver, and brain: a population-based cohort... by QiaoRong Hao, QiuTing Dai, XueLiang Ding, XueNong Gao, You Zhou

    Published 2025-02-01
    “…Abstract Objective In light of the incompletely defined metastatic patterns inherent to rhabdomyosarcoma (RMS), our objective was to analyze the clinicopathological attributes of various metastatic sites in patients afflicted with RMS. …”
    Get full text
    Article
  3. 1043

    Development and validation of a machine learning model for online predicting the risk of in heart failure: based on the routine blood test and their derived parameters by Jianchen Pu, Yimin Yao, Xiaochun Wang

    Published 2025-03-01
    “…BackgroundHeart failure (HF), a core component of cardiovascular diseases, is characterized by high morbidity and mortality worldwide. By collecting and analyzing routine blood data, machine learning models were built to identify the patterns of changes in blood indicators related to HF.MethodsWe conducted a statistical analysis of routine blood data from 226 patients who visited Zhejiang Provincial Hospital of Traditional Chinese Medicine (Hubin) between May 1, 2024, and June 30, 2024. …”
    Get full text
    Article
  4. 1044

    Predictive factors for multivessel disease in patients with acute coronary syndrome: analysis from the CCC-ACS project in China by Houlin He, Jun Wang, Yasong Wang, Ruoxi Gu, Dongyuan Sun, Lingfei Zheng, Xiaoxiang Tian, Yaling Han, Xiaozeng Wang, On behalf of CCC-ACS investigators

    Published 2024-11-01
    “…Methods This multicenter retrospective study included 68,378 ACS patients from 240 hospitals.The clinical data were retrospectively analyzed with univariate and multivariate analyses to identify the predictive factors for MVD. …”
    Get full text
    Article
  5. 1045
  6. 1046
  7. 1047

    Predictors of In-Hospital Mortality in Patients with Infective Endocarditis: A Single-Center Study by Haifany Fauziyah Hanim, Rizkania Ikhsani, Digita Natarina Yudharaputri, Charlotte Johanna Cool, Melawati Hasan

    Published 2025-04-01
    “…During hospitalization, data regarding clinical characteristics, blood cultures, and clinical outcomes were assessed to identify the predictors of in-hospital mortality. Data were analyzed using chi-square and binary logistic regression. …”
    Get full text
    Article
  8. 1048

    Knowledge, attitudes, practices, and barriers of artificial intelligence as predictors of intent to stay among nurses: A cross-sectional study by Islam Ali Oweidat, Mohammad Alkhatib, Mohammed ALBashtawy, Saleh Al Omar, Saleem Al-Rjoub, Khitam Alsaqer, Khalid Al-Mugheed, Sally Mohammed Farghaly Abdelaliem

    Published 2025-04-01
    “…Data were collected using two validated instruments and were analyzed using descriptive statistics, Pearson correlation, and multivariate regression. …”
    Get full text
    Article
  9. 1049

    Psychiatric Symptoms in Patients with Immune-Related Mucocutaneous Lichen Planus by Narges Hejazi, Hossein Eslami, Ali Reza Shafiee-Kandjani, MohamadReza Ranjkesh, Behzad Shalchi, Fatemeh Eskandarpour

    Published 2024-10-01
    “…The information required was collected using the SCL-90-R standard questionnaire, and the data were analyzed using descriptive and inferential statistics with the help of SPSS v.23 and multivariate analysis of variance (MANOVA). …”
    Get full text
    Article
  10. 1050

    Risk factors for implant failure of PFNA–II in the treatment of intertrochanteric fractures (AO/OTA 31 A1 and A2) by Zijian Li, Jianpeng Gao, Xiaoyong Wu, Zhengyang Chang, Xiao Liu, Licheng Zhang, Ming Li, Shaobo Nie

    Published 2025-08-01
    “…After propensity score matching and multivariate logistic regression analysis, there were statistically significant differences in reduction quality and continuity of the medial femoral cortex between the two groups. …”
    Get full text
    Article
  11. 1051

    Palliative Gastrectomy Prolongs Survival of Metastatic Gastric Cancer Patients with Normal Preoperative CEA or CA19-9 Values: A Retrospective Cohort Study by Chang-Fang Chiu, Horng-Ren Yang, Mei-Due Yang, Long-Bin Jeng, Tse-Yen Yang, Aaron M. Sargeant, Li-Yuan Bai

    Published 2016-01-01
    “…Gastrectomy (P=0.002) remained statistically significant in multivariate analyses. Subgroup analysis showed that patients aged < 60 years, CEA < 5 ng/mL or CA19-9 < 35 U/mL, obtained a survival advantage from palliative gastrectomy. …”
    Get full text
    Article
  12. 1052

    Smoking increases the risk of surgical site infection after hydrocelectomy in adults: a retrospective cohort study in Brazil by Thiago Silva da Costa, Paulo José de Medeiros, Mauro José Costa Salles

    Published 2018-01-01
    “…Among the 53 patients presenting chronic smoking habits, 26.4% (14⁄53) developed SSI, which was associated with a higher risk for SSI (odds ratio [OR] = 2.84, 95% confidence interval [CI] = 1.27 to 6.35, p < 0.01) in the univariate analysis. In the adjusted multivariable analysis, smoking habits were also statistically associated with SSI after hydrocelectomy (odds ratio [OR] = 2.84, 95% confidence interval [CI] = 1.30 to 6.24, p = 0.01). …”
    Get full text
    Article
  13. 1053

    Analysis of Complications and Risk Factors Other than Bleeding before and after Endoscopic Treatment of Esophagogastric Variceal Bleeding in Patients with Liver Cirrhosis by Xiaowei Duan, Xing He, Hezhong Yan, Haiqing Li, Jiaoxue Wang, Shicun Guo, Zhengwei Zha, Qianqian Zhang, Yuchuan Bai, Jiayi Zhang, Jun Tang, Derun Kong

    Published 2023-01-01
    “…Univariate analysis was performed to identify clinical factors of secondary complications, and statistically significant factors were included in the multivariate Cox and logistic regression analyses. …”
    Get full text
    Article
  14. 1054

    Investigation the therapeutic effect of mindfulness-based cognitive-behavioral counseling in pregnant women with body image dissatisfaction: A randomized controlled trial by Mehnoosh Farahabadi, Abbas Amanollahi, Bahman Cheraghian, Zahra Abbaspoor

    Published 2025-06-01
    “…Body image concerns questionnaire was completed by both groups before and after the intervention, and data were analyzed using descriptive statistics and multivariate analysis of covariance. …”
    Get full text
    Article
  15. 1055

    Prognostic Role of Pan-Immune-Inflammatory Value in Patients with Non-ST-Segment Elevation Acute Coronary Syndrome by Jeong Tae Byoun, Kyeong Ho Yun, Sungho Jo, Donghyeon Joo, Jae Young Cho

    Published 2025-02-01
    “…Subgroup analyses revealed no statistically significant interaction between MI status or C-reactive protein levels and PIV. …”
    Get full text
    Article
  16. 1056

    A decision rule for identifying patients at high risk for impaired lung diffusion capacity after COVID-19 by O. I. Savushkina, E. S. Muraveva, I. V. Zhitareva, D. V. Davydov, E. V. Kryukov

    Published 2024-10-01
    “…Spirometry, body plethysmography, and lung diffusion capacity for carbon monoxide (DLCO) test were performed. The data were analyzed by descriptive statistics, correlation analysis, one-dimensional logistic regression analysis with an assessment of odds ratios (OR), and multivariate logistic regression analysis. …”
    Get full text
    Article
  17. 1057

    DRG payment for male reproductive system malignant tumor surgery: analysis and recommendations on resource consumption in a tertiary hospital in China by Zhengyu Zhang, Xiaolin Yao, Ying Li, Ruiyin Dong, Wen Jin, Yunhe Li

    Published 2025-05-01
    “…Age and robot-assisted surgery emerged as independent factors due to their statistically dominant effects (P < 0.001) in multivariate regression, whereas comorbidities and insurance type showed limited explanatory power (adjusted R2 = 0.72). …”
    Get full text
    Article
  18. 1058

    Insecticide-treated nets utilization and influencing factors on middle school students in Southeast Nigeria. A cross-sectional study by Egbobe JohnPaul Otuomasiri, Magnus Michael Sichalwe, Ezaka Ephraim Ibeabuchi

    Published 2025-03-01
    “…Methods: An analytical cross-sectional study was conducted from October to November 2020, using systematic sampling to recruit 238 participants from three schools in Southeastern Nigeria. Data were analyzed with SPSS version 23, employing descriptive statistics for univariate analysis to determine ITN usage proportions. …”
    Get full text
    Article
  19. 1059

    Dietary antioxidants and nutritional risk in the elderly: insights from the composite dietary antioxidant index and geriatric nutritional risk index by Zhongxin Zhu, Yueyuan Han, Huafang Chen

    Published 2025-06-01
    “…This study aimed to investigate this association using the composite dietary antioxidant index (CDAI) and the geriatric nutritional risk index (GNRI).MethodsWe analyzed data from the National Health and Nutrition Examination Survey (2010–2018), focusing on 4,208 participants aged ≥65 years. …”
    Get full text
    Article
  20. 1060

    Infant and young child feeding practices and its associated factors among mothers of under two years children in a western hilly region of Nepal. by Nabin Adhikari, Kiran Acharya, Dipak Prasad Upadhya, Sumita Pathak, Sachin Pokharel, Pranil Man Singh Pradhan

    Published 2021-01-01
    “…Data was entered in EpiData and analyzed using IBM SPSS version 21. Descriptive statistics were used to report the feeding practices and other independent variables. …”
    Get full text
    Article