Search alternatives:
\\"factor » \\"factors (Expand Search)
Showing 3,141 - 3,160 results of 3,256 for search '"\"((\\"factor AND regression analysis\\") OR (\\"factor AND regression analyzed\\"))~\""', query time: 0.13s Refine Results
  1. 3141

    The demographic characteristics and prognosis of acute myeloid leukemia with t(3;3)/inv(3) in the united states: a SEER-based study by Xianfeng Ouyang, Xia Wu, Su Hu, Wei Jiang, Ying Guo, Yan Huang

    Published 2025-04-01
    “…Age and marital status at diagnosis were independent influencing factors for OS and CSS based on the multivariate COX regression analysis. …”
    Get full text
    Article
  2. 3142
  3. 3143
  4. 3144
  5. 3145
  6. 3146

    Triple Therapy with Interventional Treatment, Donafenib, and Anti-PD-1 Antibodies in Unresectable Hepatocellular Carcinoma: A Retrospective Real-World Study in China by Ye Q, Song Z, Yu T, Li Y, Ai L, Yang G, Su K, Chen D, Zhao W, Ding R, Zha Y, Li G

    Published 2025-08-01
    “…Efficacy was assessed using modified RECIST (mRECIST) criteria; prognostic factors were analyzed using Cox regression models.Results: Among 89 patients, the ORR was 75.3% and the disease control rate was 100%. …”
    Get full text
    Article
  7. 3147
  8. 3148

    Management and implications of severe COVID‐19 in pregnancy in the UK: data from the UK Obstetric Surveillance System national cohort by Nicola Vousden, Rema Ramakrishnan, Kathryn Bunch, Edward Morris, Nigel Simpson, Christopher Gale, Pat O’Brien, Maria Quigley, Peter Brocklehurst, Jennifer J. Kurinczuk, Marian Knight

    Published 2022-04-01
    “…The severity of maternal infection (need for high flow or invasive ventilation, intensive care admission or died), pregnancy and perinatal outcomes, and the impact of timing of birth were analyzed using multivariable logistic regression. Results Of 4436 pregnant women, 13.9% (n = 616) had severe infection. …”
    Get full text
    Article
  9. 3149

    Maturity of data interoperability cross-organizations in supporting the concept of one employment data at the ministry and regional government levels by Herpita Wahyuni, Dyah Mutiarin, Ulung Pribadi, Nur Syakiran Akmal Ismail, Eko Priyo Purnomo, Wahyudi Kumorotomo

    Published 2024-12-01
    “…This research uses a mixed-method research approach that examines preparedness, understanding, command style, and ethos in relation to the maturity of E-Government Interoperability across Organizations in Central and Regional Governments in Processing One Employment Data. Regression analysis and hypothesis testing are carried out using SEM-PLS (Structural Equation). …”
    Get full text
    Article
  10. 3150

    Parental role in paediatric cancer treatment decision making at Tikur Anbessa Specialized Hospital, Ethiopia: A mixed method study by Daniel Betemariem, Leul Deribe, Aklil Hailu, Haileyesus Adam, Nataliya Berbyuk Lindström

    Published 2025-06-01
    “…Additionally, 11 in-depth interviews were conducted with selected parents. Logistic regression and thematic analysis were used to analyze the quantitative and qualitative data, respectively. …”
    Get full text
    Article
  11. 3151

    Epidemiology of the global burden of atrial fibrillation among women of child-bearing age, 1990–2021: insights from the Global Burden of Disease Study 2021 by Shuwen Chen, Junpeng Xiong, Peiyang Zheng, Ronghui Yu

    Published 2025-07-01
    “…Age-standardized rates (ASRs) of incidence, prevalence, disability-adjusted life years (DALYs), and mortality rate were calculated from 1990 to 2021. Joinpoint regression and Bayesian age-period-cohort analysis were applied to assess temporal trends, regional disparities, and to project future AF burden. …”
    Get full text
    Article
  12. 3152

    Breathing time: a longue-durée multidisciplinary study of respiratory illnesses and airborne diseases in Switzerland (16th–21st century CE) by Tobias Hofstetter, Aude Fauvel, Silke Grabherr, Negahnaz Moghaddam

    Published 2024-10-01
    “…This graphical presentation is a breakthrough in the field of RIAD research in Switzerland and further enabled to assess internal data coherence and trend evolutions by means of joinpoint regression analysis.Main results include the confirmation of the considerable impact of industrialization on the respiratory health of peri-alpine populations. …”
    Get full text
    Article
  13. 3153

    Investigating the Relationship Between Nurses’ Attitudes About Old Age and Age Discrimination in Caring For the Elderly Hospitalized in Hospitals in Kashan City, Iran, in 2022 by Ameneh Baseri Arani, Mohammad Javad Tarrahi, Majid Rahimi

    Published 2025-03-01
    “…This research includes two questionnaires that measure attitudes about old age, namely the Kogan attitudes toward older people scale and measures of discriminatory practices against the elderly. To analyze the results using descriptive statistics (prevalence and average) and inferential statistical tests, including the Chi-square test, independent t test, and variance analysis with the Pearson correlation coefficient or the Spearman correlation coefficient, were employed. …”
    Get full text
    Article
  14. 3154

    Dietary patterns derived by Gaussian graphical models and metabolic profiles among overweight and obese individuals by Reyhaneh Mokhtari Hemami, Mohammad Asghari-Jafarabadi, Mahdieh Abbasalizad Farhangi, Maedeh Alipour

    Published 2025-04-01
    “…GGM was utilized to explore the networks of participants’ dietary intake, and the association between these networks and risk factors related to MetS was assessed using logistic regression. …”
    Get full text
    Article
  15. 3155

    Association of baseline remnant cholesterol independent of LDL-cholesterol with newly diagnosed diabetes in the Chinese population by Yulu Yang, Xuehan Li, Jianwu Huang, Jiacheng Wu, Yalei Wang, Hao Chen, Zhihua Qiu, Zihua Zhou

    Published 2024-10-01
    “…Finally, the study further analyzed the interactions between LDL-c and RC. After adjusting for confounding factors, RC was significantly associated with an increased risk of diabetes (HR = 1.46, 95% confidence interval [CI] 1.36–1.57). …”
    Get full text
    Article
  16. 3156

    Correlation between serum thyroid hormone and lipid in patients with chronic kidney disease by HUANG Hai-ming, XIAO Xiao-fen, WANG Xiao-qin

    Published 2015-01-01
    “…Objective To study the changes of serum thyroid hormone(TH) and the underlying effects on lipid in patients with chronic kidney disease(CKD) stage3~5.Methods Serum free triiodothyronine(FT3),free thyroxine(FT4),and sensitive thyroid stimulating hormones(s-TSH) concentrations in 120 patients with CKD stage3~5 in hospital and 50 normal-control subjects were measured by a specific radioimmunoassay.Serum total cholesterol(TO,triglycerides(TG),high density lipoprotein(HDL-C),low density lipoprotein(LDL-C),serum creatinine(SCr),blood urea nitrogen(BUN),uric acid(UA),albumin(Alb) concentrationswere measured by a automatic biochemical analyzer,estimated glomerular filtration rate(eGFR) were measured by SCr.Results According to the analysis,serum contents of both FT3 and FT4 were significantly lower in patients with CKD stage3~5than in normal controls(P<0.01,P<0.05,respectively),and their s-TSH contents were not different compared with normal controls(P>0.05).CKD patients had significantly higher serum TG,TC and LDL-C contents than normal controls(P<0.01,P<0.01,P<0.05,respectively),but their HDL-C content is not more different than normal controls(P<0.05).Pearson correlation analysis revels negative correlation betweeen FT3 and TG,TC(r=- 0.288,P<0.05;r=- 0.312,P<0.05),but positive correlation between FT3 and HDL-C,Alb,Hb 0=0.356,P<0.01;r = 0.199,P<0.05;r=0.266,P<0.01;r=0.276,P<0.01).Negative correlation betweeen TC,LDL-C and FT4 were found(r=-0.199,P<0.01;r=- 0.297,P<0.05),and positive correlation between FT4 and eGFR,Alb,Hb(r=0.405,P<0.01;r=0.237,P<0.01;r=0.24,P<0.01),but there is no evidence correlaiton between FT4 and TG,HDL-C,eGFR,TG,TC,HDL-C,LDL-C are not correlated with s-TSH,except Alb.The results of regressive analysis showed that the independent risk factor of hyperlipidemia was eGFR and FT3,that TC was negatively related to eGFR(P<0.01).Conclusions It is very common in middle and advanced stage CKD patients with thyroid dysfunction,which mailnly presents low T3 syndrome and closely related to severity of renal damage.Hyperlipidemia is very common in CKD patients.The risk factors are complicated,which eGFR and FT3 are independent causes of dyslipidemia in CKD patients.…”
    Get full text
    Article
  17. 3157

    Vertical distribution of bivalves fauna in the northwestern Tatar Strait (Japan Sea) by Р. A. Dulenina, A. A. Dulenin

    Published 2020-09-01
    “…General patterns of bivalves distribution by depth in the northwestern Tatar Strait (within Khabarovsk region) are analyzed on the data of 384 trawl, 573 drag, and 1177 diving stations during research surveys in 2003–2016 where the samples were collected with commonly accepted methods. …”
    Get full text
    Article
  18. 3158

    25-hydroxyvitamin D as a predictor of reduced heart rate variability in elderly patients with diabetes mellitus by Tiantian Tang, Xinyu Sun, Xiaoxiang Zhang, Jiaojiao Li, Manjie Wang, Cancan Hui, Yuwei Cheng, Xiaoming Kong, Yan Sun

    Published 2025-04-01
    “…Statistical analyses included χ² test, independent t-test, Mann-Whitney U test, and multivariate logistic regression to identify risk factors for HRV reduction. …”
    Get full text
    Article
  19. 3159

    Rapid diagnosis of stress-related states to guide health-enhancing physical activity for university students by Olena Andrieieva, Nataliia Byshevets, Mykhailo Dudko, Ihor Synihovets, Nataliia Korzh

    Published 2025-04-01
    “…Statistically significant (p<0.05) generalized regression models were constructed that establish relationships between students’ stress-related states and multidirectional stress-related factors (gender, psychophysiological indicators, physical condition, mental state, etc.). …”
    Get full text
    Article
  20. 3160

    Identification of a novel anoikis-related gene signature to predict prognosis and tumor microenvironment in intrahepatic cholangiocarcinoma carcinoma by Xuan Zhou, Bai Wei, Yan Wang, Mingjie Liu, Xiangru Guo, Yuting Duan

    Published 2025-06-01
    “…Subsequently, we utilized Weighted Gene Co-expression Network Analysis (WGCNA) to identify highly correlated genes and constructed a prognostic risk model based on univariate Cox proportional hazard regression. …”
    Get full text
    Article