Development of a nomogram to predict in-ICU mortality of elderly patients with sepsis-associated liver injury: an analysis of the MIMIC-IV database by Xuemei Hu, Xuemei Hu, Jianbao Wang, Jianbao Wang, Susu Cao, Susu Cao, Aolin Xia, Aolin Xia, Xiaocong Jiang, Xiaocong Jiang, Tianfeng Hua, Tianfeng Hua, Min Yang, Min Yang

“…P-values from the Hosmer-Lemeshow goodness-of-fit test for both training and validation sets were recorded at 0.627 and 0.486, respectively, indicating good fit quality. Decision curve analysis revealed that the nomogram consistently provides greater net benefits compared to SAPS II and SOFA scores.ConclusionA prediction model of in-ICU mortality in SALI elderly patients was established by screening variables through lasso regression. …”
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TECHNOLOGY FOR CREATING THE TOPOLOGY OF PRINTED CIRCUIT BOARDS USING POLYMER 3D MASKS by Igor Nevliudov, Evgeny Razumov-Fryzyuk, Dmytro Nikitin, Danila Bliznyuk, Roman Strelets

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Analysis of factors influencing tumor volume doubling time in hepatocellular carcinoma and its predictive value for progression-free survival by Ting Huang, Yong Chen

“…We calculated the TVDT using the equation: TVDT = [(T - T0) ln2]/[ln(V/V0)]. We analyzed several factors that might affect TVDT through logistic regression. …”
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Identification of Risk Group for Root Caries and Analysis of Associated Factors in Older Adults Using Unsupervised Machine Learning Clustering by Jiang L, Huang S, Reissmann DR, Schmalz G, Li J

“…The confusion matrix and alluvial diagram were used to visualize the predictive accuracy and composition of the clustering results. Binary logistic regression models further analyzed the associated factors, while ROC (receiver operating characteristic) curves and the random forest model visualized the predictive performance and the most important associated factors.Results: Two clusters were identified: cluster 1, with low root caries risk (21.5% with and 78.5% without root caries), and cluster 2, with high root caries risk (83.7% with and 16.3% without root caries). …”
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Predictive factors for neuromodulator response in patients with nonacid gastroesophageal reflux-induced chronic cough: a retrospective data analysis by Obama Oyana Marcelina Asangono, Yaxing Zhou, Jiguang Wu, Tongyangzi Zhang, Shengyuan Wang, Li Yu, Xianghuai Xu

“…Retrospective analysis of general information, cough-related questionnaires, MII-pH parameters, and other assessments was conducted to establish a regression analysis model for identifying multiple factors associated with neuromodulator response. …”
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Intertemporal dynamics and determinants of welfare inequality among enset-producing and non-producing households in central Ethiopia: Insight from expenditure and asset value by Tsegamariam Dula Sherka, Abrham Seyoum Tsehay

“…Using panel data from 270 households across three waves (2018/19, 2021/22, 2023/24), the study employs descriptive statistics, factor analysis, the Atkinson index, and quantile regression models to analyze trends in welfare (asset and expenditure) inequality. …”
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Retrospective Cross-Sectional Study of Quadratic-Linear Correlations Between Cephalometric Measurements and Profile Esthetics in Adult Orthodontic Patients by Visessan Pornsirianand, Janeta Chavanavesh, Pimsiri Kanpittaya, Anupap Somboonsavatdee

“…Cephalometric parameters (105 independent variables) were analyzed using Dolphin and ImageJ software. Factor analysis identified closely related variables, and 41 selected cephalometric variables were used in correlation and multiple regression analyses to explore their relationships with attractiveness scores separately for orthodontists and laypeople using the R programming language. …”
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Ruptured intracranial aneurysm with spontaneous occlusion of internal carotid artery: clinical characteristics, prognostic risk factors, and survival analysis by Bo Liu, Pengran Liu, Yang Guo, Hao Yin, Xihai Zhu, Yaohua Li, Bangyue Wang, Yan Zhao, Linchun Huan, Xiaopeng Cui, Xuequan Feng, Xinyu Yang, Xiaojun Zhang

“…Logistic regression analysis was used to identify independent risk factors associated with patient prognosis. …”
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Risk factors analysis and predictive model construction of infection after pterygium excision combined with limbal stem cell transplantation by WU Jing，TIAN Jingjing，MENG Jie

“…The general data and clinical data of the two groups were collected and analyzed, and the influencing factors of infection were analyzed through multivariate logistic regression analysis. …”
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Spatiotemporal dynamics and policy impact on farmer suicides in Maharashtra, India by Anjali, B. Rushi Kumar

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Investigating factors influencing utilization of trauma-focused cognitive behavioral therapy among unaccompanied young refugees: an exploratory analysis by Barbara Kasparik, Madina Farani, Elisa Pfeiffer, Cedric Sachser, Rita Rosner

“…A sample of N = 139 UYRs who had received a treatment recommendation for trauma-focused cognitive behavioral therapy (TF-CBT) was analyzed. Binomial logistic regression was performed to identify factors predicting the likelihood of intention to seek MHC. …”
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Analysis of off-label drug use and its influencing factors in pediatric patients undergoing otolaryngology, head, and neck surgery by Zichao Ji, Xin Wang, Jiawei Wang

“…Clinical pharmacists collected and analyzed off-label drug use. Univariate and multivariate logistic regression were employed to analyze the factors associated with off-label drug use.ResultsIn total, 22,487 prescriptions were included, of which 2,269 were off-label, resulting in an incidence rate of off-label drug use of 10.09%. …”
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Analysis of clinical factors and inflammatory cytokines in patients with lung cancer and sarcopenia: a prospective single-center cohort study by Yalan Liu, Yalan Liu, Hui Zhang, Peng Chen, Xinfu Liu

“…Multivariable logistic regression analysis indicated that patients in the sarcopenia group were positively correlated with interleukin (IL)-6 and tumour necrosis factor (TNF)-α (P<0.05). …”
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Pathogenic spectrum of infective endocarditis and analysis of prognostic risk factors following surgical treatment in a tertiary hospital in China by Suiqing Huang, Jiantao Chen, Tongxin Chu, Li Luo, Quan Liu, Kangni Feng, Zeyu Li, Jian Hou, Zhongkai Wu

“…The pathogenic spectrum was summarized; the risk factors for early postoperative mortality and embolic events were analyzed using multivariate logistic regression. …”
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The Influence of Manipulative Media Usage on Students' Understanding of Fraction Operations in Elementary Schools by Ibnu Imam Al Ayyubi, Nurhikmah, Siti Rahmawati, Siti Hajar Trimulyati, Teti Setiawati

“…The instruments used were questionnaires and tests. Data analysis included the Kolmogorov-Smirnov normality test, linearity test, as well as correlation and regression tests using SPSS version 26. …”
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Multitime-point monitoring and analysis of influencing factors of early postoperative blood glucose and lipid levels in pediatric liver transplantation by LU Yefeng, GAO Leiqing, NI Xiaoxiao, FU Jingjing

“…The t-test or Mann-Whitney U test was used to analyze factors influencing PBG, Cox regression analysis was used to analyze factors influencing FBG, and logistic regression analysis was used to analyze factors influencing TC.Results·A total of 82 pediatric LT patients were included, with 45 males (54.9%) and 37 females (45.1%). …”
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Prevalence of cognitive impairment and its related factors among Chinese older adults: an analysis based on the 2018 CHARLS data by Xueqin Wu, Xueqin Wu, Yufu Tang, Yushan He, Qiwei Wang, Qiwei Wang, Yinhui Wang, Xiujun Qin

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Analysis of the current status and influencing factors of oral frailty in elderly patients with type 2 diabetes mellitus in Taiyuan, China by Chun Tian, Na Li, Ya Gao, Yan Yan

“…Results The prevalence of oral frailty was 45.9% among the 464 elderly T2DM patients. Regression analysis identified the following influencing factors (p < 0.05): age, smoking history, weekly frequency of physical activity, duration of diabetes mellitus, polypharmacy, frailty, and oral health score. …”
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Impact of greenhouse gas emission, renewable energy, and economic growth on health expenditure in Southeast Asia: A comparative analysis of econometric models by Resa Mae R. Sangco

“… Purpose — The study explores the effects of greenhouse gas emissions, renewable energy, and economic growth on health expenditures across Southeast Asia while comparing the performance of different econometric models for accuracy in analysis. Method — To analyze the relationships among variables, the study employs three econometric models, the Autoregressive Distributed Lag Model, the co-integration Model, and the Quantile Regression Model, using annual data from 2000 to 2020. …”
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Analysis and Modelling of Influence Factors in the Configuration of a Sustainable University. Case Study: “Ștefan cel Mare” University of Suceava by Daniela Mihaela Neamţu, Ruxandra Bejinaru, Cristian Valentin Hapenciuc, Iulian Condratov, Pavel Stanciu

“…We undertook an exploratory research, the results of which we processed through factorial analysis and logistic regression, carried out using SPSS v.20. …”
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