The Risk of Corruption and Money Laundering: An Analysis of Personal Predespositions and Socio-Economic Challenges by Andrey Hasiholan Pulungan, Hardhana Setiawan, Faris Windiarti

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Comparative Analysis of the Effects of Managerial and Performance Dimensions of Rural Producers’ Cooperatives in Iran by Maryam Najafi, Hedayat Nouri, Amir Mozafar Amini

“…In this study, principal component analysis (PCA), linear regression analysis, and arithmetic mean method were used. …”
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Comparative analysis of the main trends in the Interaction of scientifc and educational Organizations with Industrial enterprises by E.  A.  Kirillova

“…The study schematically presents the conclusions of a regression analysis of several factors and their impact on innovative development. …”
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Design, analysis, and reporting of pilot and feasibility trials in anesthesiology: a methodological study by Tariq Atkin-Jones, Mohamed Ali, Akudo C. J. Eze-Onuorah, Ezinne Ifeanacho, Azin Khosravirad, Kim Madden, Behnam Sadeghirad, Lawrence Mbuagbaw

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Decomposition analysis of disparities in infant mortality rates across 27 US states by Benjamin Sosnaud

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Analysis of sero-epidemiological characteristics of varicella in healthy children in Wuxi, China by Lingling Wang, Xing Qian, Min Yang, Xuwen Wang

“…Logistic and linear regressions were used to analyze the correlations between antibody seropositivity, GMCs, and corresponding factors. …”
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Investigation and analysis of mental health status of the older adult in western rural areas by Shuai Zhao, Liangfu Han, Yi Liu, Xudong Rui

“…These four scales have been extensively validated as comprehensive measures of mental health in older adult populations, with meta-analyses demonstrating their collective ability to capture 85–90% of mental health variance in older adults. Univariate analysis, multivariate logistic regression, and mediational analysis were performed to explore the relationships between different factors and mental health outcomes. …”
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Analysis of the Impact of Climate Change on National Vulnerability Based on Fuzzy Comprehensive Evaluation by Jia-Ming Zhu, Yang Chen, Su Zhang

“…Secondly, based on the influencing factors, we obtain the national vulnerability score through the fuzzy comprehensive evaluation method, delineate the impact scope according to the score, and predict climate change by means of regression analysis and time series analysis. …”
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Analysis of Mining Subsidence Characteristics and Deformation Prediction considering Size Parameters and Mechanical Parameters by Shangguo Liu, Kaixin Li, Weiping Shi, Zijun Wang, Haoran Zhang, Zhaoying Li

“…Based on the grey relational analysis, the relational degree between each factor and the maximum surface subsidence value is analyzed, and through multiple nonlinear regression, the prediction model of mining subsidence deformation under thick loose layer considering the influence of seven factors is established. …”
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Effect of geometry on clasp retention force: a finite element analysis study by Ruizhen Chen, Yao Chen, Zhiqiang Zheng, Jie Lin

“…For the rod models, stress and retention force were assessed by applying displacement loads and analyzing data with nonlinear regression. For the bending models, a similar analysis was conducted for varying base widths and heights. …”
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Cardiometabolic risk phenotypes and chronic kidney disease incidence in older adults: a nationwide longitudinal cohort study by Zhihe Zeng, Zhaoyang Xiao

“…Method Data from 7,195 participants in the China Health and Retirement Longitudinal Study (CHARLS) were analyzed. Latent class analysis was performed using data on obesity, high-density lipoprotein cholesterol, triglyceride, hypertension, diabetes, arthritis or rheumatism, and systemic inflammatory conditions and heart disease. …”
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Trends and Outcomes of TAVR: An Analysis Using the National Inpatient Sample and Readmissions Database by Vivek Joseph Varughese, Vignesh Krishnan Nagesh, Hadrian Hoang-Vu Tran, Olivia Yessin, Harsh Jha, Ashley Mason, Audrey Thu, Simcha Weissman, Adam Atoot

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Conditional survival analysis and real-time prognosis prediction for prostate cancer patients by Li Xu, Xudong Mao, Yiming Ding, Zhenwei Zhou, Yuanlei Chen, Mingchao Wang, Gonghui Li, Zeyi Lu

“…Key predictive factors, including tumor size, lymph node involvement, distant metastasis, and histological grade, were identified via LASSO and multivariable Cox regression analyses to construct the nomogram. …”
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Prevalence of feline panleukopenia (FPL) in domestic cats: A systematic meta-analysis by Manar Alessa, Mohamed Marzok, Helmy Elnafarawy, Magdy Elgioushy, Mohammed Al-Hammadi, Yamen Hegazy, Mohamed Salem, Sabry El-khodery, Alshimaa Farag

“…After a competent search, data extraction and identification of qualified articles were performed. Data were analyzed using a specific software program for meta-analysis, and the results included weight, effect size, publication bias, and heterogeneity. …”
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Prostate Cancer Patients’ Refusal of Cancer-Directed Surgery: A Statewide Analysis by K. M. Islam, Jiajun Wen

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An Econometric Analysis of Beef Cattle Supply Trends in West Papua Province, Indonesia by Stepanus Pakage, Elan L Aronggear, Trisiwi W Widayati, Andoyo Supriyantono

“…A descriptive research design was employed, utilizing secondary data obtained from official sources. Trend analysis was applied to assess cattle population growth, while multiple regression analysis was conducted to examine the factors affecting beef cattle supply in the province. …”
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Comprehensive analysis of SELPLG as a potential immunotherapy target and prognostic biomarker in oncology by Ranran Shi, Ling Ran, Beibei Li, Yuan Tian, Wei Guo, Shaoju Jin, Wenshan Zhao

“…A pan-cancer mutational landscape analysis was performed using Sangerbox 3.0. The prognostic significance of SELPLG expression was assessed using Cox proportional hazards regression models. …”
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Method for predicting the risk of type 2 diabetes mellitus development in persons with visceral obesity and prediabetes by Yulia V. Nelaeva, Alsu A. Nelaeva, Anna E. Yuzhakova, Ivan M. Petrov, Igor F. Sholomov

“…Clinical and laboratory data of 330 patients were analyzed. Multivariate regression and cosinor analysis determined the most sensitive parameters influencing the development of DM 2. …”
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The value of the phase angle of bioelectrical impedance analysis to predict malnutrition in hemodialysis patients by Qingxuan Xiao, Na Xie, Na Xie, Xinyang Xiang, Ting Cao, Yingye Xie, Yingye Xie, Xiang Liang, Xiaoyan Su, Xiaoyan Su

“…Multivariate logistic regression analysis revealed that PhA, Alb, and BMI were independent predictors of malnutrition. …”
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Analysis and prediction of serological indicators associated with colorectal interval polyposis after resection by Yuan Lan, Li Zhang, Ren Jun Li

“…Follow-up data were obtained through electronic medical records, including demographic information (age, sex, smoking and alcohol use, hypertension, and diabetes history), anthropometric measures (weight, height, BMI), surgical details, polyp features (location, size, number, histological type), and relevant serological parameters.ResultsSignificant differences were observed between the non-interval polyposis and interval polyposis groups in terms of hypertension, diabetes, triglycerides (TG) and the number of polyps (P < 0.05). Binary logistic regression analysis identified four independent risk factors: hypertension (OR, 2.741; 95% CI, 1.451-5.179), diabetes (OR, 4.828; 95% CI, 1.943-11.995), number of polyps (OR, 1.211; 95% CI, 1.078-1.361) and triglyceride levels (OR, 1.823; 95% CI, 1.303-2.551).ConclusionHypertension, diabetes, an increased number of polyps and elevated triglyceride levels are independent predictors of colorectal interval polyposis following endoscopic resection. …”
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