Showing 121 - 140 results of 3,256 for search '"\"((\\"factors AND regression analyzed\\") OR (\\"factor AND regression analysis\\"))~\""', query time: 0.11s Refine Results
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    APPLYING STATISTICAL ANALYSIS TO DETERMINE NUMBER OF COFFEE SHOPS by N. Cheremisina, T. Cheremisina, M. Serdyukova

    Published 2022-02-01
    “…This article provides a historical overview of the evolution of the sphere of public catering in Russia; on the basis of official statistics, the development of Russian catering in recent years is analyzed. The analysis of the obtained data was carried out using such statistical methods as nonparametric analysis based on multiple rank correlation coeicient, multiple correlation and regression analysis; using statistical analysis methods, the factors influencing the development of catering, and in particular coffee shops, in Russian cities with a population of more than a million people were identiied.…”
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  4. 124

    Correlation of gastrointestinal symptoms with sleep disorders, anxiety and depression in hemodialysis patients identified by LASSO-logistic regression by Li Xiao-ye, Ding Yu-rong, Zhang Jing

    Published 2025-07-01
    “…General data of two groups of patients were compared. LASSO-logistic regression was used to analyze the influencing factors for gastrointestinal symptoms in hemodialysis patients. …”
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  5. 125

    Analysis of risk factors for hyperlipidemia in 1233 maintenance hemodialysis patients by LUO Deng-gui, QI Ai-rong, XU Yuan-zhao, FU Bo, YANG Jun, YANG Dong

    Published 2019-01-01
    “…For basic kidney diseases,there were 630 cases of primary glomerular disease( 51. 3%),281 cases of diabetic nephropathy( 22. 9%),71 cases of hypertensive renal injury( 5. 8%),17 cases of chronic renal tubular interstitial disease( 1. 4%),88 cases of obstructive nephropathy( 7. 2%),7 cases of lupus nephritis( 0. 6%),51 cases of polycystic kidney cases( 4. 2%),15 cases of gouty nephropathy( 1. 2%),15 cases of hepatitis B related nephropathy( 1. 2%),and 60 cases of other kidney diseases( 4. 9%). Multiple factor Logistic regression analysis revealed that sex and blood calcium were closely related to hyperlipidemia in patients with MHD,and HP was an importantly protective factor for hyperlipidemia in MHD patients( P < 0. 05). …”
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  6. 126

    Analysis on influencing factors of hemodialysis adequacy in maintenance hemodialysis patients by GAO Yan, FANG Yan-hui, GAO Tong-xin, GUO Xue-na, REN Jian-wei

    Published 2020-01-01
    “…Objective To explore the influencing factors of adequacy of single hemodialysis in maintenance hemodialysis(MHD) patients.Methods A total of 109 patients who underwent MHD in Blood Purification Centre of Aviation General Hospital in March 2019 were enrolled in this study.The data on pre-HD and post-HD gender,age,body mass index(BMI),primary disease,vascular access and blood urea nitrogen(BUN),hemodialysis time,ultrafiltration volume(UF),blood flow rate(BFR),dry body weight and ratio of UF in single hemodialysis were recorded.According to spKt/v results,the patients were divided into two groups:qualification group(spKt/V≥1.2) and disqualification group(spKt/v<1.2).The influencing factors were analyzed.Results Univariate analysis showed that spKt/V was correlated with gender,dialysis associated coagulation,BFR,arteriovenous fistula(AVF)and dry body weight(P<0.05).Binary Logistic regression showed that gender(OR=4.345,95%CI 1.240~15.070,P<0.05),dialysis associated coagulation(OR=5.497,95%CI 1.213~27.125,P<0.05),BFR(OR=0.984,95%CI 0.969~0.998,P<0.05) and AVF as vascular access(OR=0.105,95%CI 0.012~0.889,P<0.05) were independent influencing factors of spKt/V for single hemodialysis.Conclusions The single hemodialysis adequacy in MHD patients is closely associated to gender,dialysis associated coagulation,BFR and AVF.…”
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    Analysis of influencing factors on hospitalization time for mild ischemic colitis by FANG Lisha,  LI Huan, LONG Hui, WU Qingming

    Published 2025-04-01
    “…Data on general characteristics, medical history, clinical manifestations at admission, initial laboratory test results, colonoscopy findings, and imaging examinations were collected for both groups. Factors with statistical significance in univariate analysis were included in multivariate Logistic regression analysis to identify risk factors influencing hospitalization duration. …”
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  9. 129

    Analysis of the Effect of Socioeconomic Factors on Poverty in Central Java Province by Moh. Nur Khaqiqi, Lilik Sugiharti

    Published 2025-06-01
    “…The poverty rate as of 2023 stands at 10.77%, highlighting persistent economic disparities. The study aims to analyze how socioeconomic factors like economic growth, HDI, and wage levels contribute to poverty alleviation within the region. …”
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  10. 130

    Statistical Analysis of Risk Factors in High-Risk Penetrating Keratoplasty by G. Sh. Arzhimatova, G. M. Chernakova, E. A. Salikhov, M. Y. Shemyakin

    Published 2024-10-01
    “…Kaplan-Meyer and Cox regression methods were used to analyze graft survival and risk factors for graft disease.Results. …”
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  11. 131

    Analysis of the current situation and influencing factors of nurse change fatigue by Ming Yu, Jing Ji, Dongying Kan, Dandan Gu, Xixi Yin, Suping Cai, Ronghui Geng, Lingling Jiang

    Published 2025-04-01
    “…Multiple linear stepwise regression analysis revealed that monthly income, professional title, years of work, number of night shifts, care perception, and emotional intelligence were significant factors influencing the change fatigue experienced by clinical nurses amidst environmental changes (all p &lt; 0.05). …”
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  12. 132

    Analysis of Takayasu's Arteritis as a Risk Factor for Acute Coronary Syndrome by Maria Emilia Romero Noboa, MD, Shilpa Arora, MD, Preeti Kansal, MD, Augustine M. Manadan, MD

    Published 2025-06-01
    “…TAK and traditional cardiovascular (CV) risk factors were included in a multivariable logistic regression analysis for an outcome of ACS. …”
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  13. 133

    Simulation of the Bankruptcy Event of Companies Associated with a Business Group by V. V. Lopatenko, A. M. Karminsky

    Published 2024-07-01
    “…The purpose of the study is to determine the influence of a business group on the assessment of the borrower’s creditworthiness, as well as to identify the most significant credit risk factors. Despite the fact that creditworthiness assessment is widely disseminated in both domestic and foreign literature, the impact of the consolidated group in the context of this problem is practically not mentioned. …”
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    A Safe Location for a Trip? How the Characteristics of an Area Affect Road Accidents—A Case Study from Poznań by Cyprian Chwiałkowski

    Published 2025-06-01
    “…For the purposes of the analysis, two variants of the regression method were used: ordinary least squares (OLS) and geographically weighted regression (GWR). …”
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    Correlation and Prediction Analysis of Cyanobacteria with Water Environment Data by Sang-Leen Yun

    Published 2024-12-01
    “…The primary objective was to establish correlations between various environmental factors and validate the utility of predicting algae(cyanobacteria) occurrences. …”
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  18. 138

    Comparative Study of Blood Hemoglobin between Calculated Method through ABG Analyzer and Impedance Method through Fully Automated Blood Cell Counter by Arvi V Mehta, Sapna P Patel, Hina B Baraiya, Piyush B Tailor

    Published 2025-05-01
    “…Data was collected and analyzed by Bland-Altman plot and linear regression graph using Microsoft Excel. …”
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  19. 139

    Prediction model of pelvic lymphocysts after cervical cancer surgery based on logistic regression or support vector machine by WANG Jiao, GAO Hui, ZHAO Bo

    Published 2025-05-01
    “…In the training set, univariate and multivariate logistic regression were used to analyze the risk factors for the formation of pelvic lymphocysts within 14 days after cervicalcancer surgery. …”
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  20. 140

    University Students Stress Detection During Final Report Subject by Using NASA TLX Method and Logistic Regression by Alfita Khairah, Melinda, Iskandar Hasanuddin, Didi Asmadi, Riski Arifin, Rizka Miftahujjannah

    Published 2025-05-01
    “…In addition, the logistic regression analysis applied in this study succeeded in developing a predictive model with an accuracy of 94% in identifying students' stress conditions. …”
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