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Efficiency Determinants in Brazilian Football Clubs
Published 2017-01-01“…With the Tobit regression model, we were able to determine that winning titles and the elite status of a given club are decisive factors in achieving efficiency. …”
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622
MATHEMATICS AND ENTRANCE EXAM RESULTS AS INDICATORS OF ACADEMIC SUCCESS AMONG CIVIL ENGINEERING STUDENTS
Published 2024-12-01Get full text
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Basic characteristics and susceptibility evaluation of geological hazards in Shifang City, Sichuan Province
Published 2024-12-01“…Based on the survey results, ten evaluation factors were selected through principal component analysis, correlation analysis and multicollinearity analysis. …”
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Artificial intelligence survival models for identifying relevant risk factors for incident diabetes in Azar cohort population
Published 2025-05-01“…Methods: Data from Azar-Cohort spanning from 2014 to 2020 was analyzed using the random forest (RF) variable selection method along with Cox regression to identify the most relevant risk factors associated with diabetes. …”
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Clinical characterization, cardiovascular risk factor profile and cardiac strain analysis in a Uganda cancer population: The SATRACD study.
Published 2021-01-01“…On multivariable logistic regression analysis, obesity (POR = 2.95; 95% CI, 1.24-7.03; p = 0.014) was the only independent factor associated with suboptimal GLS.…”
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Prevalence survey and prognosis analysis of hospitalized patients with acute kidney injury:a single-center study
Published 2016-01-01“…Objective To investigate the prevalence and the prognosis of acute kidney injury(AKI) in our region and to find out the risk factors associated with the outcome.Methods Between Jan.to Dec.2015,all the hospitalized patients in First Affiliated Hospital of Medical College were screened by Laboratory data retrieval system.Our study cohort was comprised of all the patients with AKI defined by latest clinical guidelines of KDIGO for definition of the renal creatinine.The prevalence was retrospectively analyzed.Logistic regression analysis was used to investigate the risk factors of mortality and renal prognosis.Results Of all the 58 444 hospitalized patients,609 patients suffered from AKI with the prevalence being 1.04%.The ratio of male to female was(2.07:1),and age was(66.3±16.1) years old.by KDIGO criteria,40.9%(n=249) had stage 1,43.2%(n=263) had stage 2 and 15.9%(n=97) had stage 3.The prerenal,intrarenal and postrenal reasons for hospitalized patients with AKI accounted for 70.6%(n=431),21.5%(n=131),and 7.9%(n=48),respectively.On the day 7 after AKI,the mortality rate was 25.5%(155/609).In the final observation,the mortality rate was 29.1%(177/609),complete renal unrecovery rate was 29.9%,partial renal recovery rate was 41.2%,complete renal recovery rate was 18.7%,and the renal function couldn’t be judged in 10.2%patients due to undetermination of creatinine values.Multivariate logistic regression analysis showed that the independent risk factors for mortality were age(OR = 1.598),AKI stage(OR= 1.538),coma(OR= 2.659),and chronic liver disease(OR= 2.134).Organ failure except kidney(P<0.01,OR= 2.548,95%CI:1.717~3.783) was the independent risk factor for renal unrecovery.Conclusions AKI is an increasingly common and potentially catastrophic complication in hospitalized patients.Age,AKI stage,coma,and chronic liver disease were the independent risk factors for mortality.Organ failure except kidney was the independent risk factor for renal unrecovery.AKI should not be viewed as a self-limited disease process from which most patients eventually recover but rather as a significant risk factor for long-term morbidity and mortality following hospital discharge.…”
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Factores clave en la práctica de la Ciencia Abierta. Un análisis multivariado en el contexto universitario = Key Factors in Open Science Practice: A Multivariate Analysis within th...
Published 2025-06-01“…Employing a quantitative approach, the study utilized a survey as a data collection technique administered to 106 professionals engaged in research activities at a Latin American university (Chile). Data were analyzed using descriptive statistical techniques, association tests, and multivariate analysis (binary logistic regression and K-means algorithm). …”
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Predictive factors of adolescents’ happiness: a random forest analysis of the 2023 Korea Youth Risk Behavior Survey
Published 2025-04-01“…A random forest model was applied to determine the strongest predictive factors, and its predictive performance was compared with traditional regression models. …”
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Adherence to four healthy lifestyle factors and their influencing factors among residents aged 35–75 years in Gansu province
Published 2025-03-01“…Adherence to the four healthy lifestyle factors was analyzed, and a multifactorial unconditional logistic regression model was used to analyze the influencing factors. …”
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633
Analysis of serum uric acid in patients with chronic kidney disease on stages 3-5 and its influencing factors
Published 2018-01-01“…The Logistic regression analysis showed that the independent risk factors of HUA in patients with CKD on stages 3-5 were hypertension,increased diastolic blood pressure and renal function deterioration( P < 0. 05). …”
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Effects of perinatal variables on echocardiographic assessments of left ventricular dimensions in infants born large for gestational age: a prospective cohort analysis
Published 2025-05-01“…A larger proportion of neonates were admitted to the neonatal intensive care unit (NICU) in LGA infants (74.6%) as compared to the AGA infants (33.5%) (p < 0.001). Regression analysis identified birth weight (BW) as a key factor, positively correlating with increased LVmass, interventricular septum thickness, and LV posterior wall thickness in both LGA and AGA infants. …”
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Analysis of Risk Factors for Bleeding and Recurrence of Ovarian Endometriomas after Laparoscopic Surgery and Its Impact on Pregnancy Outcomes
Published 2024-01-01“…Chi-square test was used to analyze the relationship between their clinical characteristics and postoperative bleeding, recurrence, and pregnancy along with logistic regression analysis of the risk factors for postoperative bleeding and recovery. …”
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640
Analysis and Prediction of the Factors Influencing Postconstruction Surface Deformation of Pipe-Jacking Tunnel in Soft Clay Strata in China
Published 2023-01-01“…The postmaximum surface settlement and postformation loss rate were obtained, the correlation coefficients between the postsurface deformation of soft clay strata and various influencing factors were calculated using a software for correlation analysis, and the variation rules for each influencing factor were explored in depth. …”
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