Economic factors affecting point-of-sale systems in Saudi Arabia’s food sectors by Mohamad Alnafissa, Yosef Alamri, Alaa Kotb, Emad S. Aljohani

“…The research utilized path regression analysis, following initial tests that revealed multicollinearity issues in a standard OLS model. …”
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Learned helplessness among vocational nursing students: current status and influencing factors by Yiheng Wang, Chunhong Zhou, Xihong Qian, Ying Zhao, Ling Gao, Wenlan Xu

“…Multivariate linear regression analysis revealed that the following factors were significantly associated with learned helplessness: low per capita household income (< 3000 yuan), non-voluntary choice of major (joint decision, parental preference, or other), non-passive future career orientation (further education or employment), low self-perceived major satisfaction, and poor interpersonal relationships with classmates (P < 0.05). …”
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Visceral leishmaniasis treatment outcome and associated factors among pediatric patients in Northwest Ethiopia: a seven-year retrospective cohort data analysis (2013–2019) by Haregewoyn Abere, Haregewoyn Abere, Aberham Abere, Dessie Abebaw, Gizework Alemnew Mekonnen, Tena Cherkos, Mekuriaw Alemayehu, Mequanent Kassa

“…Data were entered into Epi-Info version 7.2 and subsequently analyzed using SPSS version 20. Logistic regression was employed to identify factors associated with treatment outcomes, with a statistical significance threshold set at p&lt; 0.05.ResultsOf the 222 pediatric admissions for VL, 200 complete records were included in the analysis. …”
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Factors Associated with Occupancy Level in a High- Complexity Emergency Department in Medellín by Estrada-Atehortúa, Andrés Felipe, Arroyave-Peña, Tatiana, Quiroz-Álvarez, Juan Esteban, Giraldo-Hoyos, Jaime Andrés, Bareño-Silva, José

“…Objectives: To determine the ED occupancy level at Hospital Pablo Tobón Uribe, Medellin, using the National Emergency Department Overcrowding Study (NEDOCS), analyzing hospital service factors, processes, physical capacity, and human resources. …”
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Association Between Risk Factors and Major Cancers: Explainable Machine Learning Approach by Xiayuan Huang, Shushun Ren, Xinyue Mao, Sirui Chen, Elle Chen, Yuqi He, Yun Jiang

“…Their records were matched and combined with those of patients without cancer diagnoses using propensity scores based on demographic factors. Three advanced models, penalized logistic regression, random forest, and multilayer perceptron (MLP), were conducted to identify the rank of risk factors for each cancer type, with feature importance analysis for random forest and MLP models. …”
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Telomere length in young and middle-aged patients: relationship with cardiovascular risk factors by V. I. Podzolkov, A. E. Bragina, N. A. Druzhinina, L. V. Vasilyeva, R. A. Shikhmagomedov, E. M. Averyeva

“…According to the multivariate regression analysis, LTL was associated with age (B=-0,04, Std. …”
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Measuring and Analyzing the Impact of Some Macroeco-nomic Variables on Exports in Emerging Countries for 2000-2020: A Panel Data Analysis by Mohammed Mustafa Braim Hassan, Hewa Othman Ismael, Idrees Ramadhan Haji

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Analysis of risk factors of cholangiocarcinoma, role of diabetes mellitus and hepatitis B virus infection in the intrahepatic and extrahepatic cholangiocarcinoma: a retrospective c... by Hasan Md Rasadul, Peng-cheng Kang, Jing-lin Li, Shi-hui Ma, Cheng-hong Duan, Xu-dong Zhao, Yun-fu Cui

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Spatial Analysis of Rural Settlement Systems within the Framework of Land Use Planning Using Geographic Information Systems (Case Study: Aq Su Rural District) by Seyed Mohammad Mousavi Parsaei

“…To measure the impact of vulnerability factors on the spatial distribution of rural settlements, multiple regression analysis was utilized. …”
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Factors Affecting Herd Status for Bovine Tuberculosis in Dairy Cattle in Northern Thailand by Tawatchai Singhla, Sukolrat Boonyayatra, Veerasak Punyapornwithaya, Kimberly L. VanderWaal, Julio Alvarez, Srinand Sreevatsan, Somphorn Phornwisetsirikun, Jamnong Sankwan, Mongkol Srijun, Scott J. Wells

“…Questionnaires were administered for data collection with questions based on epidemiological plausibility and characteristics of the local livestock industry. Data were analyzed using multiple logistic regressions. A significant geographic cluster was identified only in Chiang Mai province (p<0.05). …”
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Research Of Functional Changes In Foreign Exchange Rate EUR/UAH Under Conditions Of Economic Transformation In Ukraine by Oliinyk Oksana, Ksendzuk Valentyna, Sergiienko Larysa, Lehan Iryna

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The Effect of Economic Factors on Coffee Consumption in Rukungiri District, South-Western Uganda by moses Agaba

“…Simple random and purposeful sampling methods were used to choose a sample of 123 respondents. The thematic analysis method was utilized to assess the qualitative data, while SPSS Version 23.0 was used to analyze the quantitative data. …”
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Predicting the occurrence of liver injury induced by immune checkpoint inhibitors in hepatocellular carcinoma patients: a retrospective analysis by Xiaoyan Li, Hang Sun, Jialiang Wang, Lubiao Chen

“…The risk factors were screened by logistic regression analysis between these two groups, and then a predictive model for ILICI occurrence was established. …”
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Causes and risk factors of deaths in maintenance hemodialysis patients with end-stage renal disease by ZHOU Kang-kang, ZHANG Jun-yu, ZHOU Hong-wei

“…The dialysis starting age was significantly older,and the percentage of neutrophils,neutrophilto lymphocyteratio,cardiothoracic ratio were significantly higher in the case group than those in the control group( P < 0. 0 5). Binary logistic regression analysis showed that the advanced age,malnutrition,anemia,inflammation,low magnesium,low uric acid,low creatinine,and high neutrophilto lymphocyteratio and high cardiothoracic ratio were the risk factors for deaths. …”
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Systematic analysis of gout burden among young adults in China from 1990 to 2021: findings from the global burden of disease study 2021 by Yuxin Zhong, Yan Li, Chenyu Hu, Tao Tao, Liyuan Hao, Na Li, Xiaoyan Zeng, Zixin Zhang, Xiaoyu Hu

“…Understanding the burden of gout and its risk factors among young adults in China is crucial for developing effective prevention and management strategies.MethodsWe analyzed data from the Global Burden of Disease Study 2021 (GBD 2021) on gout prevalence, incidence, and disability-adjusted life years (DALYs) among young adults (individuals aged 15–39 years) in China from 1990 to 2021. …”
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Gastrointestinal diffuse large B-cell lymphoma: Clinical characteristics and prognostic analysis from SEER database by Fang Du, Lingyun Zhou, Runya Fang, Jiao Chen, Danbo Liu, Hongxian Xiang, Wenyi Lu, Jingsong Wu, Haifei Chen

“…Multivariate Cox regression analysis revealed that hazard ratio (HR) values indicated that age over 60 years (HR = 2.85), Ann Arbor stage (stage II: HR = 1.22; stage III: HR = 1.31; stage IV: HR = 1.85), and being widowed (HR = 1.40) were independent poor prognostic factors. …”
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Association of female reproductive factor with risk of arthritis: a population-based cross-sectional study by Jiajia Wang, Yiting Ge, Jingbo Xu, Lin He, Chunjiang Liu, Yuefei Wang

“…After adjusting for potential confounding factors, we used weighted multivariable logistic regression analysis, restricted cubic spline (RCS) model, and subgroup analysis to evaluate the association of AFB, ALB, number of live births, and pregnancies with prevalence of arthritis. …”
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Carbon factor inventory and weight in rural communities: a case study of Linpan in western Sichuan by Yujie He, Pingjuan Zou, Lei Xu, Rui Peng, Hang Chen, Congshan Tian, Lili Zhang

“…Principal component analysis (PCA) and multiple regression analysis were used to construct regression models for carbon factors and their related indicators in 5 dimensions, and the weights of carbon factors in each dimension were sorted to determine the most significant carbon factor indicators within each research scope. …”
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Modeling and construction of nomogram of cage subsidence after single-segment transforaminal lumbar interbody fusions by Jinxiang Zhan, Qipeng Wei, Weijun Guo, Zihao Liu, Shiji Chen, Qingyan Huang, Dongling Cai

“…Abstract Objective The purpose of this study is to explore and analyze the risk factors for interbody cage subsidence in patients undergoing single-segment transforaminal lumbar interbody fusion (TLIF) and to construct and validate a visual nomogram risk prediction model. …”
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Establishment and Validation of a Dynamic Nomogram for Persistent Organ Failure in Acute Biliary Pancreatitis: A Retrospective Study by Gu K, Wang Q

“…Initial screening identified 18 variables; through LASSO regression and multivariable logistic regression analysis, five variables including BMI, Hb, ALB, Ca, and LIP were determined as independent predictors of POF. …”
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