Spatiotemporal evolution of agricultural carbon emissions intensity in China and analysis of influencing factors by Xue Zhu, Xiwu Shao

“…Abstract This study aims to investigate the spatiotemporal evolution of China’s agricultural carbon emissions intensity and their influencing factors from 2001 to 2022. It employs analytical methods such as kernel density estimation, Gini coefficient, Moran’s index, spatial Markov analysis, and spatiotemporal geographically weighted regression (GWTR) to visualize the data and analyze the results. …”
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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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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 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 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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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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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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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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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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Quantitative analysis and correlation evaluation on taste quality of green tea by Chen Meili, Tang Desong, Gong Shuying, Yang Jie, Zhang Yingbin

“…The equation based on stepwise regression analysis had good predictive ability for the taste quality and total quality, and the right ratios for taste score and total quality score were 79% and 83% respectively. …”
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ANALYSIS OF PADDY GROWERS DECISIONS IN LIGHT OF LIMITED IRRIGATION WATER IN THE EUPHRATES BASIN REGION FOR THE PERIOD 1980-2015 by Z. H. Mhmood

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RISK FACTORS FOR PNEUMONIA IN ELDERLY INDONESIAN HAJJ PILGRIMS (DATA ANALYSIS OF SISKOHATKES 2023) by Alvina Diva Fitrianti, Chandrayani Simanjorang, Ulya Qoulan Karima, Fajaria Nurcandra

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Basic aspects of meta-analysis. Part 2 by E. A. Tao, M. Yu. Nadinskaia, A. Yu. Suvorov, N. M. Bulanov, V. I. Sholomova, P. P. Potapov, M. S. Taratkin, M. Yu. Brovko

“…In this article the reader will be introduced to methods for identifying and quantifying hidden heterogeneity, such as subgroup analysis and meta-regression. In addition, the reader will learn how to calculate effect size in studies, estimate publication bias mathematically and graphically, and incorporate this estimate into the overall average effect size estimate in meta-analyses.…”
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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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Comparative Analysis of Factors Affecting the Prognosis of Patients with Atrial Fibrillation According to the Results of the REKUR-AF Study by I. L. Polshakova, S. V. Povetkin

“…To conduct a comparative analysis of the significance of the influence of various factors and their combinations on the survival of patients with atrial fibrillation (AF) in the REKUR-AF study.Material and methods. …”
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