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

“…Kaplan-Meyer and Cox regression methods were used to analyze graft survival and risk factors for graft disease.Results. …”
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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

“…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 < 0.05). …”
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Factors influencing farmers' participation in crop intensification program in Rwanda by Alphonse Nahayo, Morris O. Omondi, Xu-hui ZHANG, Lian-qing LI, Gen-xing PAN, Stephen Joseph

“…Descriptive statistics and binary logistic regression model were used to analyze the data. Results show that the factors that significantly influenced the farmers' participation in the CIP include gender, non-farm income, farmland size, farming experience, land acquisition means, market access, trust and agro-ecological conditions. …”
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Influence of microenvironmental factors on tobacco consumption among Spanish youth by Cristina Sota Rodrigo, María-Camino Escolar-Llamazares, Elvira Isabel Mercado Val, María Ángeles Martínez Martín, Ángela Sanllorente Rodríguez, María Consuelo Sáiz-Manzanares

“…Likewise, the group of friends and the role of teachers as role models also exert a notable influence on the onset of consumption. Objective: To analyze the influence of social and family role models on tobacco consumption in adolescents, considering these factors as elements of the microenvironment. …”
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Factors affecting communication time in an emergency medical communication centers by Melisande Bensoussan, Mathilde Vannier, Thomas Loeb, Jérémie Boutet, Frédéric Lapostolle, Paul-Georges Reuter

“…Bivariate and multivariate logistic regressions were used to identify factors associated with prolonged communication times. …”
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APPLYING STATISTICAL ANALYSIS TO DETERMINE NUMBER OF COFFEE SHOPS by N. Cheremisina, T. Cheremisina, M. Serdyukova

“…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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Rainfall and temperature trends in northeastern states of India: Implications for agricultural productivity by JYOTSNALI CHETIA, MONISHA CHETIA

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Understanding the nexus between migration and food security: Evidence from rural farming households in Osun State, Nigeria by Lateef Olatunbosun Jimoh, Kamila Olaide Akintunde, Ahmed Oluwagbemiga Busari, Afusat Adunni Alabi, Khadijat Olaitan Olanrewaju, Ibrahim Adebowale Yakubu

“…For migrant households, the average MPCFE recorded was (N92, 345.56) surpassing the food security line (2/3 MPCFE), and resulting in the majority (80.0 %) relatively food-secure. Logistic regression modeling shows that migratory effect, labor loss, and households’ size (1 %) were negatively significant; while farming experience, farm size, and income level (5 %) were the positive significant factors influencing food security among the migrant households. …”
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Trends in maternal mortality in Latin America and the caribbean: a joinpoint analysis by Linda Quiroz-Acuña, Wagner Rios-Garcia, Carlos Quispe-Vicuña, Jorge Ybaseta-Medina, Jenyfer M. Fuentes-Mendoza, J. Smith Torres-Roman

“…The MMR, defined as maternal deaths per 100,000 live births, was calculated using data from the Pan American Health Organization (PAHO). Trends were analyzed using Joinpoint regression to estimate the Annual Percentage Change (APC) and Average Annual Percentage Change (AAPC), with p < 0.05 indicating statistical significance. …”
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Medication information completeness in discharge summaries from a Norwegian rural hospital – a cross-sectional study by Beate Hennie Garcia, Michelle Thao Nguyen, Lars Småbrekke, Frode Skjold, Trine Aag

“…Methods We randomly selected 240 discharge summaries from 2019 and applied seven national criteria defining the necessary medication information in discharge summaries; (1) reasons for changes in medication prescribing during hospitalization, (2) generic names, (3) administration forms, (4) dosage strengths, (5) dosage regimes stated, (6) indications for use and (7) the medication status categories new, changed, short course. A quantile regression model was applied to analyze factors associated with the medication information completeness in these summaries, adjusting for both patient- and hospital-related variables. …”
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Global and China trends and forecasts of disease burden for female lung Cancer from 1990 to 2021: a study based on the global burden of disease 2021 database by Bilu Li, Yuyan Wu, Yanhong Zhang, Chengyun Hu, Xue Li, Shanshan Luo, Chenyu Sun, Iyad Yousef, Yefei Wang, Chaoliang Tang

“…These metrics were stratified by gender (BOTH, MALE, FEMALE), and the average annual percentage change (AAPC) was calculated for each metric over this period. The JOINPOINT regression model was used to analyze the trends in female lung cancer in China and globally from 1990 to 2021. …”
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Review and practical excursus on the comparison between traditional statics methods and Classification And Regression Tree (CART) in real-life data: Low protein diet compared to Me... by Vincenzo Calabrese, Daniela Metro, Angela Alibrandi, Domenico Maviglia, Valeria Cernaro, Veronica Maressa, Elisa Longhitano, Guido Gembillo, Domenico Santoro

“…In this review, we compared CART to traditional statistics in patients who did not attempt a diet to patients who followed a low-protein diet (LPD) or the Mediterranean diet in chronic kidney disease (CKD) patients, and we analyzed them using linear regression and CART methods. …”
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THE METHODOLOGY FOR MEASURING FINANCIAL CONTAGION: THE CASE STUDY OF BANK DEFAULT RISK SIMULATION by V. E. Rasskazov

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Related factor analysis of anemia in patients with type 2 diabetic kidney disease by Zhang Jing, Chen Guang-mei, Fan Wen-xing, Su Feng

“…Objective To explore the related factors of anemia in patients with type 2 diabetic kidney disease（DKD）.Methods In this retrospective study, 334 patients with a clinical diagnosis of type 2 DKD were recruited and divided into anemia and non-anemia groups.The relationships of anemia with clinical manifestations and laboratory findings were analyzed.Binary Logistic regression analysis was performed for evaluating the related factors in type 2 DKD patients of different genders.Results Significant inter-group differences existed in complement（C4）,serum creatinine（Scr）,cystatin C（CysC）,retinol binding protein（RBP）,ferritin（SF）,urinary albumin/creatinine（UACR）,diabetes duration, body mass index（BMI）,hemoglobin（Hb）,glycosylated hemoglobin（HbA1 c）,complement（C3）,albumin（Alb）,indirect bilirubin（IDBIL）,estimated ball filtration rate（eGFR）,cholesterol（TC）,iron（Fe）and calcium（Ca）for males（P<0.05）;for females, Scr, CysC,RBP,UACR,Hb, Alb, Fe, IDBIL,eGFR,C3 and Ca were significantly different between two groups（P<0.05）.Logistic regression analysis showed that BMI,eGFR and Alb were associated with anemia in males（P<0.05）;BMI,eGFR and Ca were correlated with anemia in females（P<0.05）.Conclusions Anemia in type 2 diabetic kidney disease patients is closely correlated with deterioration of renal function, disorder of iron metabolism, hypocalcemia, malnutrition and microinflammation.…”
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Obtenção de patentes na indústria do Estado de São Paulo: uma análise utilizando regressão logística Patent obtaining in the São Paulo State industry: an analysis using logistic re... by Antônio Carlos Pacagnella Júnior, Geciane Silveira Porto, Sérgio Kannebley Júnior, Sérgio Luís da Silva, Carlos Alberto Grespan Bonacim

“…The research has a quantitative approach with descriptive and correlational characteristics, where the statistical method used was the logistic regression. The results show that the export orientation, the capital origin, the main outcome source (goods or services), the factor related to the investments on research and development, (R&D) availability of R&D specific department or laboratory, R&D cooperation and the information sources for innovative activities are significant influence variables on the probability of patent obtaining.…”
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Factor Analysis of the Effect of Hepatitis B-Related Liver Cancer Treatment Efficacy by Liu SW, Zhou Y, Feng XY, Hai L, Ma WL, Ma LN, Ding XC, Luo X

“…The relationships between clinical characteristics, tumor markers, inflammatory factors, blood biochemical parameters, and OS and PFS were analyzed. …”
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Osteosarcopenia as a risk factor for depression: Longitudinal findings from the SHARE study by Nicola Veronese, Francesco Saverio Ragusa, Shaun Sabico, Ligia Juliana Dominguez, Mario Barbagallo, Gustavo Duque, Lee Smith, Nasser Al-Daghri

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Normal-Weight Abdominal Obesity: A Risk Factor for Hypertension and Cardiometabolic Dysregulation by Jinyu Sun, Qiang Qu, Yue Yuan, Guozhen Sun, Xiangqing Kong, Wei Sun, Tianyu Xu, Xiaoxia Fu

“…We used adjusted multivariate logistic regression models, subgroup analysis, and restricted cubic spline to analyze the association between waist circumference and the prevalence of hypertension. …”
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Factors of Financial Imbalance in the Compulsory Pension Insurance System: the Case of Russia by A. l. Safonov, Yu. V. Dolzhenkova

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Risk factors influencing curative effect of class Ⅳ lupus nephritis by ZHANG Yu-rong, QI Yuan-yuan, MA Xiao, MENG Rui-xia, YANG Yan, WANG Jing

“…Objective To investigate the clinical risk factors for unresponsive common approaches on the treatment of class IV lupus nephritis(LN).Methods The class IV LN patients were confirmed by renal biopsy,treated with glucocorticoid and common immunosuppressive agents and followed up for more than6 months.They were divided into two groups according to curative effect after treatment for 6months.The differences between the two groups were analyzed by means of demographic characteristics,clinical manifestations,laboratory tests,autoantibodies,pathologic indicators,treatment regimens and outcomes.The possible influencing risk factors on the classⅣ LN were analyzed by Kaplan-Meier,and the independent risk factors were analyzed by multivariate COX regression modeling.Results A total of 198 patients with complete data and regularly followed-up were enrolled.They were divided into two groups:50(25.25%)patients in non-response group and 148(74.75%)in response group.There was no significant difference between two groups in responsive rate under various common induction therapies.And then,the risk factors influencing the curative effects of class LN Ⅳ patients were further explored.Results showed that the nonresponse group had a higher rate of photosensitization,renal dysfunction,moderate proteinuria,the anti-RNP positive,renal glomerular sclerosis,CI,chronic interstitial lesions,interstitial cellular infiltration and NNV than in the response group(P<0.05).Kaplan-Meier results showed that a decreasing response happened in the group with a higher rate of renal dysfunction,chronic lesions and interstitial cellular infiltration(Log Rank P<0.05).Then multivariate COX regression model investigated that renal dysfunction was an independent risk factor for poor curative effect.Conclusions Under the treatment of common induction therapy,the classⅣ LN patients with baseline renal dysfunction have a terrible curative effect.In addition,it is possible that the baseline anti-RNP positivity,chronic interstitial lesions,interstitial cellular infiltration or NNV are the risk factors for unresponsive treatment.…”
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