Showing 121 - 140 results of 3,256 for search '"\"((\\"factors AND regression analysis\\") OR (\\"factors AND regression analyzed\\"))~\""', query time: 0.12s Refine Results
  1. 121

    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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  2. 122

    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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  3. 123
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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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  7. 127

    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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  8. 128

    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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  9. 129

    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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  10. 130

    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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  11. 131
  12. 132

    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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  13. 133
  14. 134

    Correlation and Prediction Analysis of Cyanobacteria with Water Environment Data by Sang-Leen Yun

    Published 2024-12-01
    “…Water quality, river environment, and meteorological data were collected and analyzed at six locations along the Nakdong River in Gyeongsangbuk-do and Daegu City. …”
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  15. 135

    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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  16. 136

    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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  17. 137

    DETERMINING AGRICULTURAL INSURANCE PREMIUMS USING THE BLACK-SCHOLES APPROACH BASED ON LINEAR REGRESSION OF POTATO PRODUCTION AND PRICES by Sri Purwani, Sarah Sutisna, Rayyan Al Muddatstsir Fasa

    Published 2024-10-01
    “…In addition, this research analyzes the factors that influence prices by focusing on the relationship between potato production levels and market prices. …”
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  18. 138

    Epidemiology of Skin Diseases in Poland: Analysis of Prevalence and Risk Factors: A Cross-Sectional Study by Anna Kubrak, Anna Zimny-Zając, Sebastian Makuch, Łukasz Pawelec, Beata Jankowska-Polańska, Wojciech Tański, Jacek C. Szepietowski, Siddarth Agrawal

    Published 2025-06-01
    “…The prevalence of these conditions was assessed, and statistical analysis, including logistic regression, was used to evaluate associations with demographic and socioeconomic factors (age, gender, education level, and urbanization). …”
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  19. 139
  20. 140

    Analysis of the detection status and influencing factors of breast nodules in women in Zhangjiakou by YANG Xinhua, DOU Yandong, JI Lina

    Published 2025-07-01
    “…Objective To explore the epidemiological characteristics and influencing factors of breast nodules in females undergoing health examinations in Zhangjiakou area.Methods Women who underwent breast ultrasound examinations at Zhangjiakou First Hospital from January 2019 to December 2021 were collected as the research subjects, basic data were collected and analyzed, and breast nodule progression was observed during a one-year follow-up, multivariate Logistic regression was applied to analyze the influencing factors of female breast nodule disease and progression.Results A total of 16,282 women were included in the physical examination, of which 3,272 had breast nodules, with an incidence rate of 20.10%, and among them, 906 were classified as BI-RADS grade  1, 1,365 as BI-RADS grade 2, 531 as BI-RADS grade 3, and 470 as BI-RADS grade 4. …”
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