Possibilities of using econometrical methods in studying of interregional interactions of migration in transportation by A. A. Bychkova

“…The results of the study showed that it is possible to study migration flows by spatial autocorrelation methods, and the main explanation of this process is socio-economic factors. Regression analysis revealed a significant correlation between migration flows and such factors as income level, development of transportation infrastructure, accessibility, education and other factors calculated in absolute units. …”
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The Predictive Value of Preoperative Systemic Immune-Inflammation Index in Patients with Granulomatous Mastitis by Ouyang L, Qin J, Cui T, Tan Y

“…Kaplan-Meier plots and Log rank tests were performed to investigate the clinical outcomes of cumulative no-recurrence rates. Risk factors were analyzed by using logistic regression analysis.Results: We found a correlation between the recurrence of GM and the preoperative level of SII, and the high SII group exhibited a higher recurrence rate than the low SII group. …”
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Debt Management and Financial Performance of SACCOs in Karamoja Region: A Case of Kamukoi, Thurr and Lotuke SACCOs. by Apio, Brenda

“…Data from 92 respondents was collected and analyzed quantitatively complemented with qualitative analysis. …”
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Adherence to iron deficiency interventions among pregnant women attending antenatal clinics in Ubungo municipality, Dar es Salaam, Tanzania by Glory Benjamin, Ezra J. Mrema, Nchang’wa Nhumba, Albert Burudi Wakoli, Hussein H. Mwanga

“…Interviews were conducted by using interviewer-administered questionnaires. Data were analyzed using Stata version 17. The study employed binary and multivariable logistic regression analysis to determine factors associated with adherence to iron deficiency interventions. …”
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Health Care Professionals’ Perspectives on Technology Use in Urinary Care: Cross-Sectional Survey-Based Study by Nicole Zhang, Ni Zhang, Yun Wang, Rachel Wong, Kaylin Ma

“…Quantitative data were analyzed using descriptive statistics, Pearson correlation, and multiple regression. …”
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Predictors of adverse events in patients with ischemic chronic heart failure with reduced ejection fraction and renal dysfunction by D. A. Lashkul

“…For determination of dependent and independent prognostic factors of adverse events ROC-analysis, univariate and multivariate Cox proportional hazard regression analyses were done. …”
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Nutritional knowledge, fiber intake, body mass index, and sex associated with constipation symptoms in Peruvian adults by Pablo C. Rojas-Rojales, David Javier-Aliaga, Yaquelin E. Calizaya-Milla, Jacksaint Saintila

“…Nutritional knowledge (assessed using the Dietary Fiber Habits and Knowledge Questionnaire), fiber-rich food consumption (measured with the Block Instrument), BMI (self-reported and calculated), and constipation symptoms (evaluated using the Rome III International Diagnostic Questionnaire) were analyzed. Hierarchical regression analysis was performed to evaluate the impact of the variables on constipation symptoms. …”
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Atrial fibrillation as a complication of endovascular patent foramen ovale closure: a clinical trial by A. S. Tereshchenko, G. K. Arutyunyan, E. V. Merkulov

“…Based on univariate regression analysis, risk factors associated with de novo AF were identified.Results. …”
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Peritumoral Radiomic Features on CT for Differential Diagnosis in Small-Cell Lung Cancer: Potential for Surgical Decision-Making by Jie Lin BS, Hao Zheng MS, Yuan Dong MS, Lanqi Fu MS, Yujie Ding BS, Shucheng Huang MS, Shiwei Wang MS, Junna Wang MS

“…Feature selection was performed using t-tests, LASSO regression, and mRMR analysis. Logistic regression models were constructed for original and expanded ROIs, and a clinical-radiomics nomogram was developed by combining significant radiomic features with independent clinical predictors (gender, smoking history, tumor diameter, glitch, and neuron-specific enolase levels). …”
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Development and validation of a nomogram for predicting intracranial infection after intracranial aneurysm surgery by Yongqiang Yang, Yanli Tang, Youwen Gong

“…Multivariate logistic regression analysis identified pneumonia, external ventricular drainage, tracheotomy, procalcitonin, C-reactive protein, and albumin levels as independent risk factors for intracranial infections (p < 0.05). …”
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Exploration in association between vitamin D and cutaneous melanoma and explainable machine learning prediction by Lingyi Li, Man Luo

“…Self-reported melanoma data, serum vitamin D levels, and other covariates were downloaded and analyzed. Analysis of variance in this study was performed using t-tests and chi-square tests, modelling was performed using logistic regression based on NHANES weights, and other risk factors were analyzed using forest plots. …”
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Optimizing extended ablation margins in papillary thyroid carcinoma using digital pathology by Han-xiao Zhao, Han-xiao Zhao, Yun Niu, Zhen-long Zhao, Yu-tong Liu, Ming-an Yu

“…Two authors independently assessed the characteristics of the PTCs and measured infiltration distances, with the greatest distance recorded as the infiltration distance. Risk factors associated with infiltration distance were analyzed using the rank-sum test, correlation analysis, and multiple linear regression.ResultsOf the 227 tumors, 23 tumors showed no signs of infiltration; the remaining 204 tumors had infiltration distances ranging from 0.14 to 2.26 mm, with 3 tumors having distances greater than 2 mm (2.17, 2.19 and 2.26 mm). …”
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Derivation and validation of a risk calculator for the prediction of incidence of complications following repair of Achilles Tendon Rupture by Maya Hemdanieh, Majd Mzeihem, Anas El Zouhbi, Hani Tamim, Mohamad Nassereddine

“…Multivariate logistic regression was used for statistical analysis, and a risk calculator for incidence of any complication was derived from the derivation cohort and validated on the remaining 60% of the sample. …”
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A nomogram to predict pulmonary complications after gastrointestinal surgery: a retrospective study by Chiyan Zhou, Weili Wang, Yu-E Diao

“…The Least Absolute Shrinkage and Selection Operator (LASSO) method and logistic regression were used to determine the independent risk factors. …”
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Impact of pre-pregnancy body mass index on the grading changes of Mallampati test during labor and delivery by Qufei CHEN, Yannan LI, Hua GAO, Huifen YIN

“…A multifactor logistic regression model was used to analyze the factors increased MT grading postpartum. …”
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Clinical value of serum uric acid and homocysteine levels in predicting the occurrence of atrial fibrillation in patients with type 2 diabetes mellitus by Dong Li, Jinlong Deng, Lixian Ma

“…Logistic regression analysis was employed to identify the influential factors. …”
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Psychological and cultural correlates of illness conception and menopausal symptoms: a cross-sectional and longitudinal comparative study of Mosuo, Yi, and Han women by Limin Gao, Limin Gao, Jinyi Wang, Ying Zhang, Xudong Zhao, Xudong Zhao, Haojie Fu, Haojie Fu

“…A longitudinal comparison of data from 2012 and 2020 was performed to analyze the dynamic changes in KMI and SSICHSB of Mosuo and Han women.ResultsThe regression analysis identified stress, anxiety, and dysmenorrhea experience as risk factors, while self-efficacy served as a protective factor influencing menopausal symptoms. …”
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Association between urinary metal concentrations and hyperuricemia in Chinese community-dwelling elderly: Exploring the mediating role of estimating glomerular filtration rate by Zeyang Bai, Yuqing Dai, Siyu Duan, Zhongyuan Zhang, Zhuoheng Shen, Meiyan Li, Limeng Xiong, Jinhao Jia, Yi Zhao, Yihong Di, Huifang Yang, Jian Sun, Rui Zhang

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Association of platelet to albumin ratio with metabolic dysfunction-associated steatotic liver disease based on the National Health and Nutrition Survey 2017–2018 by Jiao Xie, Qingliu He, David Fisher, Khrystyna Pronyuk, Erkin Musabaev, Lei Zhao

“…Multivariate logistic regression revealed that high PAR level was an independent risk factor for MASLD (OR = 2.58, 95%CI: 1.26–5.27, P = 0.03), which adjusted for sex, age, race, smoking status, hypertension, and diabetes.The same results were observed in multiple subgroups of further subgroup analysis, and it can effectively predict the risk of MASLD (AUC = 0.842, 95% CI: 0.826–0.859). …”
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Informativeness of various predictors of perioperative cardiovascular complications in non-cardiac surgery by D. A. Sokolov, I. A. Kozlov

“…We used logistic regression and ROC analysis.   Results. 21 (16.3 %) perioperative cardiovascular complications were registered in 17 (13.2 %) patients. …”
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