Cluster analysis of the factors influencing innovative development of economy in regions of Russian Federation by V. N. Yur’ev, D. M. Dybok

“…In the course of the research, data was collected from an official web page of Federal State Statistics Service in accordance to previously chosen factors, its’ analysis and conclusions were made, on the current step the cluster analysis was additionally conducted. …”
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Analysis of the Current Status and Influencing Factors of Social Alienation in Adolescent Scoliosis Patients by Yi Zeng, Qin Fu, Xia Li

“…Multivariate linear regression analysis was employed to identify independent factors influencing social alienation. …”
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Interaction of drivers and barriers of sustainable property management practice in shopping malls in Lagos, Nigeria by Lumbani B. Nyirenda, Caleb A. Ayedun, Innocent Musonda, Chukwuemeka O. Iroham, David O. Olukanni, Hilary I. Okagbue, Olugbemisola W. Samuel, Sunday E. Nto

“…The obtained data were analyzed using statistical tools such as mean ranking, frequency distribution, exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and mediation analysis. …”
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Analysis of influencing factors and mechanism of classification accuracy of personal waste of urban residents by Ruike Ye, Mengying Bian, Keqi Yi, Yuxin Liu, Qingwei Zeng, Jianuo Zhang

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Analysis of factors, associated with the probability of antihypertensive medication in the population of patients with arterial hypertension by V. S. Kaveshnikov, V. N. Serebryakova, I. A. Trubacheva

“…Aim. To analyze factors associated with the probability of antihypertensive drugs (AHD) receiving in the population of patients with arterial hypertension (AH). …”
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Analysis of Carbon Emission Characteristics and Influencing Factors of Cement Industry in Hebei Province by Wen Zheng, Weihua Yang, Liying Guo, Ruyan Wang

“…This paper establishes a carbon emission accounting model for cement production, quantifies the carbon emission trajectory of Hebei’s cement industry from 2005 to 2023, applies the STIRPAT (Stochastic Impacts by Regression on Population, Affluence, and Technology) model to analyze the influencing factors of carbon emissions, and predicts future emissions from 2024 to 2035 using scenario analysis methods. …”
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Analysis of clinical characteristics and risk factors of recurrent Clostridioides difficile infection in children by Jin-Yue Huang, Ning Wang, Jing-Yao Wang, Hua-Chu Zuo, Juan Li, Yu Zhao

“…Logistic regression was used to compare clinical data and analyze risk factors for CDI recurrence. …”
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Variation analysis and influencing factors in different corneal morphologies measured by the Pentacam system by Dong-Qing YUAN, Hua ZHONG, Qin CHEN

“…Spearman rank correlation analysis was used to explore the related influencing factors of BAD-Do (belin/ambrosio enhenced ectasia display-overall deviation of normality), and a multiple linear regression model was established to find the main influencing factors of BAD-Do. …”
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Risk Factors for Sigmoid Colonic Anastomosis: A Comparative and Cross-Sectional Analysis by Talih T, Sonmez G, Sozuer EM, Tombul ST, Kulturoglu MO, Islam DG, Akyıldız HY, Demirtas A, Karaagac M, Dal F

“…According to univariate and multiple logistic regression analysis, the risk of AL increased in patients with comorbidities, in the presence of previous abdominal surgery, in patients with high neutrophil-to-lymphocyte ratio, and patients with postoperative ileus (p values are 0.042, 0.010, 0.029 and 0.048, respectively).Conclusion: Our data suggest that anastomosis due to colon cancer resection does not increase the risk of AL compared with healthy bowel anastomoses. …”
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Prolonged Hospital Stay in Hypertensive Patients: Retrospective Analysis of Risk Factors and Interactions by Stanisław Surma, Michał Czapla, Izabella Uchmanowicz, Raúl Juárez-Vela, Łukasz Pietrzykowski, Bartosz Uchmanowicz, Marcin Leśkiewicz, Krzysztof Griesmann, Michał Burzyński, Jacek Smereka, Łukasz Lewandowski

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Analysis of risk factors of social frailty in older adults living with HIV/AIDS by MingDan Li, YaLi Xu, Jie Zou, Qian Liu, ZhiYan Bao, XinYi Zhang, Ying Zhang, Ping Yang

“…Therefore, this study, using Least Absolute Shrinkage and Selection Operator (LASSO) and Random Forest (RF), aims to analyze the current status and risk factors of social frailty in older adults living with HIV/AIDS and provides a basis for its prevention and reversal. …”
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An Analysis of the Urban Green Space Index in Ecuadorian Cities Through Mathematical Modeling: A Territorial Analysis by Andrea Damaris Hernández-Allauca, Jorge Gualberto Paredes Gavilánez, Sandra Patricia Miranda Salazar, Carla Sofía Arguello Guadalupe, Juan Federico Villacis Uvidia, Eduardo Patricio Salazar Castañeda, Vilma Fernanda Noboa Silva, Roberto Fabián Sánchez Chávez

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Analysis of factors influencing the burden on family caregivers of disabled older adults in Guangzhou by Danrong Lin, Danrong Lin, Junbin Liao, Yanxi Liu, Yuquan Zhong, Jingyun Pan, Heng Fang, Yunfeng Lin, Yilu Yao, Jiewen Su, Bingjie Hu, Bingjie Hu, Wei Zhu, Wei Zhu

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Analyzing the global burden of 11 subtypes of congenital birth defects: trends, sociodemographic correlates, and outcomes from 1990 to 2021 by Enhui Yang, Feng Chen, Yuansi Zhang, Hao Lin, Yang Yang, Xiufeng Huang, Wenjie Zheng, Yu Zhang, Maoping Chu, Xing Rong

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Variable Cluster Analysis of Employment in the Cities of the Russian Federation by I. A. Zalmanov

“…The purpose of the study is to analyze the socio-economic factors of employment in the urban districts of the Russian Federation. …”
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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

“…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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Spatial variation and predictors of anemia among women of reproductive age in Mozambique, 2022/23: a multiscale geographically weighted regression by Deresse Abebe Gebrehana, Tadesse Tarik Tamir, Gebretsadik Endeshaw Molla, Yishak Kebede, Dejen Tegegne, Solomon Gedlu Nigatu, Araya Mesfin Nigatu

“…A weighted sample of 5,907 women of reproductive age was analyzed using ArcGIS 10.7. Multiscale geographically weighted regression was employed to identify predictors of anemia.ResultsThe national prevalence of anemia among women of reproductive age in Mozambique was 51.89% (95% CI: 50.66, 53.12%). …”
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Analysis of the development of Oil and Gas Industry in present conditions by E. I. Larionova, T. I. Chinaeva, E. P. Shpakovskaya

“…Statistical methods of information analysis (comparative analysis, analysis of time series, correlation, and regression analysis) represent the methodological base of research.Results. …”
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Analysis of the State of Highways of Regional Importance in the Russian Federation by S. V. Polyanskaya, D. D. Ulzetueva

“…The question is also raised about identifying the most problematic places in the regional road network based on mathematical statistics methods, building dependencies of the share of bad regional roads on the length of federal roads, on the road climate zone, on the gross regional product per capita, on population, on the density of the road network and other factors. The main research methods are correlation and regression analysis. …”
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Analysis of related influencing factors of prognosis and microbiology in patients with peritoneal dialysis-associated peritonitis by Liu Xiao-hua, Liu Gen-yan, Ren Hai-bin, Liu Kang, Wei Ji-fu, Mao Hui-juan

“…The withdrawal group is considered a technical failure group.ResultsA total of 125 peritonitis cases in 79 selected peritoneal dialysis patients included 78 cases in the cured group，20 cases in the relapse group，27 cases in the withdrawal group. Logistic regression analysis indicated that reduced serum iron， initial treatment regimen of non-first-generation cephalosporin plus third-generation cephalosporins were independent risk factors for withdrawal from peritoneal dialysis in patients with peritoneal dialysis（<italic>P</italic>&lt;0.05）.Subgroup analysis found that patients in failure group had lower water levels than those in the survival group（<italic>P</italic>&lt;0.05）.Gram-positive organisms remained major cause of PD-related peritonitis（58.65%，61/104）.Methicillin resistance was noted in 21（67.74%） of 31 coagulase negative staphylococcus isolates. …”
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