Prediction of lymph node metastasis in lung adenocarcinoma using a PET/CT radiomics-based ensemble learning model and its pathological basis by Shulin Li, Shulin Li, Fang Chen, Lei Wang, Lei Wang, Zhiming Xiang

“…Additionally, Spearman’s correlation analysis was employed to investigate the association between features predicting LNM and pathological features.ResultsMultifactorial logistic regression identified the bronchial cut-off sign and serum carcinoembryonic antigen (CEA) as clinical risk factors. …”
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Understanding happiness and academic procrastination among professional students by Insha Rasool, M. Y. Ganai, Mohammad Amin Dar

“…Data were collected through a structured questionnaire and analyzed using multivariate analysis of variance (MANOVA) and regression analysis. …”
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The predictive value of MUC5AC levels in the sputum of children with Mycoplasma pneumoniae pneumonia treated with fiberbronchoscopy by Xiao-qing Jian, Miao Li, Xiao-yan Wang

“…The risk factors for fiberbronchoscopy treatment in children with lobar MPP were analyzed by multivariate logistic regression, a nomogram model created, and a receiver operating characteristic curve drawn. …”
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The Importance of Pan‐Immune‐Inflammation Value Score in Locally Advanced Rectal Cancer by Mahmut Uçar, Mukaddes Yılmaz, Eda Erdiş, Birsen Yücel

“…The median PIV score was used for cutoff determination. Survival analysis was applied. Univariate and multivariate Cox regression analyses were used to determine prognostic factors. …”
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The Impact of Intellectual Potential on the Development of the Regions of Kazakhstan by P. Zh. Orynbet, G. S. Nygymetov, A. A. Tsoy

“…The methodological basis for us was multivariate regression analysis using the EViews10 data analysis package program. …”
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INFLAMMATION CELL-MOLECULAR FEATURES AND SURVIVAL IN PATIENTS WITH OCCUPATIONAL CHRONIC OBSTRUCTIVE PULMONARY DISEASE FROM SILICA DUST EXPOSURE by L. I. Aftanas, L. A. Shpagina, O. S. Kotova, I. S. Shpagin, G. V. Kuznetsova, L. A. Panacheva, N. V. Kamneva, S. M. Erikhova

“…Levels of inflammatory cytokines, oxidative stress markers and metalloproteinases were measured in serum by enzyme-linked immunosorbent assay. Statistical analysis - ANCOVA and multiple linear regression. Survival was analyzed using Kaplan - Meier method and Cox proportional hazard regression. …”
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Inflation, Informational Environment and Expectations of Households by S. S. Vinokurov, A. A. Medved

“…To process the collected data, correlation and regression analysis was used, as well as specific methods: Granger causality, principal component methods and lasso regression. …”
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Influence of the First Thousand Days of Life on Stunting Incidence by Linda Meliati, Sudarmi Sudarmi, St Halimatusyaadiah

“…The collected data were sorted out using descriptive statistical analysis (frequency distribution) and analyzed by bivariate analysis with the Chi-square test. …”
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Structural and Visual Changes in Branch Retinal Vein Occlusion Patients with Retinal Atrophy by Zhenping Li, Xiaoya Gu, Shuang Song, Xiaobing Yu, Peng Zhang, Hong Dai

“…In multiple linear regression analysis, the disruption length of EZ and VA before treatment and age showed significant correlations with VA with complete resolution of MO (P=0.020, 0.033, and 0.002). …”
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Multidimensional assessment of sustainability and competitiveness in the ceramic tile and natural stone industries: a cross-country comparative study by Reza Yarahmadi, Ali Asghar Asadi

“…K-Means clustering classified countries into three structural categories: sustainable industrial economies, semi-sustainable states, and high-risk developing economies. SHAP analysis, applied to a multivariate regression model, identified CO₂ emissions as the most influential factor driving structural pressure, highlighting its significance in climate-focused policymaking. …”
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Association between albumin and short-term outcomes of unplanned early readmission emergency department patients: A retrospective cohort study. by Liang Zhou, Xiaona Cai, Kunpeng Hu, Shuo Tang, Dandan Gao, Xiaojuan Zhang, Yin Wu, Li He, Bangfu Zhou, Ruoyu Wu, Zhigang Zhang

“…Sensitivity analysis revealed that the results of multivariate Cox regression analysis were reliable.…”
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Use of Information Technology on Students' Physical Activity by Anisa Lutfiyani, Tri Anggoro, Rahmawan Santoso, Febri Wijaya

“…And from the results of cluster random sampling obtained 5 classes with a total sample of 150 students. The data analyzed in this study were Descriptive analysis and Inferential analysis. …”
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Dynamics of social and labor status in patients undergoing pulmonary thromboendarterectomy by A. S. Klinkova, O. V. Kamenskaya, I. Y. Loginova, S. S. Porotnikova, A. G. Edemskiy, V. N. Lomivorotov, A. M. Chernyavskiy

“…Using multivariate regression analysis, the factors influencing the resumption of labor activity after PEA, were studied.Results. …”
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The relationship between hypertension, anemia, and BMI in women of reproductive age: evidence from a nationwide health study by Shiva Raj Acharya, Diwash Timilsina, Sandip Pahari, Sabitri Acharya, Navin Ray

“…Student’s t-test, Pearson’s Chi-square, and linear regression analysis were performed in the analysis. …”
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Early detection of anxiety symptoms in Autism Spectrum Disorder: An exploratory study in a Spanish sample of 3-6 year old children. by Montserrat Durán-Bouza, Silvia Gómez-Ríos, Margarita Cañadas-Pérez, Juan-Carlos Brenlla-Blanco

“…Regression analysis highlights stereotypical behaviors as significant predictors of anxiety levels. …”
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Relationship between Obstructive Sleep Apnea and Liver Abnormalities in Older Patients: A Cross-Sectional Study by Yong-Xu Jin, Bi-ying Wang, Xiao-li Wang, Xing Yu, Li-da Chen, Yi-song Yang, Jie-feng Huang

“…Subjects were divided into no OSA, mild OSA, moderate OSA, and severe OSA groups according to the apnea–hypopnea index (AHI) and were also separated into liver injury and nonliver injury groups based on liver function. Logistic regression analysis was applied to analyze the independent risk factors for liver injury. …”
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Relationship between visceral fat area, coronary artery calcification score and prognosis of hemodialysis patients by Chen Bao-hong, Xie Zhao-jiang, Shen Wei-wei, Wang Ling

“…Objective To explore the relationship between visceral fat area（VFA）,coronary artery calcification score（CACs） and clinical prognosis of maintenance hemodialysis（MHD） patients.Methods From January 2018 to January 2019,a total of 120 hospitalized MHD patients were recruited as research subjects.Baseline VFA was detected by bioelectrical impedance analysis and baseline CACs were calculated by multi-slice spiral CT scanning and Agatston scoring method.They were divided according to the optical cut-off.Area under curve（AUC） values of VFA/CACs in predicting cardiovascular events（CVEs） were analyzed by receiver operating curve（ROC）.CVEs, cardiovascular death（CVD）,all-cause mortality rate and cumulative incidence of CVEs were compared between two groups.Finally, the risk factors of CVEs, CVD and all-cause mortality were screened by multivariate Cox regression analysis.Results ROC indicated that AUC values of VFA/CACs in predicting CVEs were 0.82 and 0.73 respectively（P<0.05） and the cut-offs 108.6 and 73.6 cm².They were divided into CACs≥108.6（n=45） and <108.6（n=75）,VFA≥73.6 cm²（n=56） and <73.6 cm²（n=64）.Compared with CACs<108.6 group, age of patients was older in CACs≥108.6 group, dialysis time longer and diabetes rate higher.Also CVEs, CVD and all-cause mortality rate were greater too（P<0.05）.Compared with VFA< 73.6 cm² group, age of patients was older, dialysis time longer and diabetes rate higher in VFA≥73.6 cm²group.And CVEs, CVD and all-cause mortality rate were greater too（P<0.05）.Kaplan-Meier survival analysis indicated that the cumulative survival rate of CVEs in CACs≥108.6 group was lower than that in CACs<108.6 group and VFA≥73.6 cm² group was lower than that in VFA< 73.6 cm² group（P<0.05）.Cox regression analysis revealed that VFA≥73.6 cm² was a risk factor for CVEs, CVD and all-cause death（P<0.05）.Conclusion VFA is more closely correlated with the elevations of CVEs, CVD and all-cause mortality in MHD patients than CACs.It suggests that early monitoring of VFA should be strengthened.Limited by sample size and observation time, the results should be further validated.…”
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The Relationship Between Religiosity and Preference for Leaders with Integrity: A Perspective on Religious Dimensions and Political Ethics by Luluk Mashluchah, Nuzulul Ulum, Ahmad Halid, Machfudz

“…Data were collected using a Likert-scale-based questionnaire and analyzed using Moderated Regression Analysis (MRA). …”
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The Impact of Organizational Reform on the Operational Performance of Taiwan’s Commercial Bank: Assessment Using the Camels Rating System by Liu Ying-Sing

“…Modeling analysis was performed via stepwise regression. The empirical results show that organizational reforms can have a significant effect on banks’ capital adequacy, asset quality, management quality, liquidity, and sensitivity to market risk. …”
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Effect of hemoglobin on non-traumatic rhabdomyolysis with acute renal failure by LIU Sheng-cai, HE Li, MENG Xiang-yu, LIU Xiao-ping, LI Fei, LI Kai-li, LIU Shang-qin

“…Objective To investigate the effect of hematoglobin level on rhabdomyolysis(RM)complicated with acute renal failure(ARF) and to identify its etiological factors,clinical features and outcome.Methods Data of 30 RM patients admitted in our hospital between July 1st 2011 and November 26 th 2014 was collected and retrospectively analyzed.We categorized these patients into two groups,one with co-existing ARF and one without Statistical analysis was performed for clinical data of these patients.Results Elevated creatine kinase(CK),myoglobin(Mb),lactate dehydrogenase(LDH),ALT,AST and serum creatinine(SCr) was found in all the patients.Hb,SCr and BUN were(89.8±22.7)g/L and(533.7±355.7)μmol/L and(0.0244±0.0146)mmol/L,in the 13 patients with ARF,and were(109.3±15.2)g/L,(209.4±159.5)μmol/L and(0.0179±0.0178)mmol/L in the 17 patients without ARF.The t-test for the difference in Hb level between the two groups indicated statistical significance(P=0.009),which was further confirmed by logistic regression.The difference in BUN and SCr between the two groups were both significant,with P=0.003 and 0.002 respectively.Conclusions Low Hb level could increase the risk of developing ARF in RM patients,which could be a risk factor for this situation.We conclude that monitoring Hb for patients diagnosed with RM is of large importance.…”
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