Analyzing the severity of distracted driving crashes on horizontal curves of rural highways: A hybrid approach of boosting-based ensemble machine learning and discrete choice metho... by Morteza Safari, Meysam Effati, Mahyar Arabani

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Re-analyzing the SARS-CoV-2 series using an extended integer-valued time series models: A situational assessment of the COVID-19 in Mauritius. by Ashwinee Devi Soobhug, Homeswaree Jowaheer, Naushad Mamode Khan, Neeshti Reetoo, Kursheed Meethoo-Badulla, Laurent Musango, Célestin C Kokonendji, Azmi Chutoo, Nawel Aries

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Identifying high-risk candidates for prolonging progression-free survival in primary gastric carcinoma subject to “double invasion”: an analytical approach utilizing lasso-cox regr... by Liwei Wang, Yu Chang, Jinfeng Ma, Wenqing Qu, Yifan Li

“…Methods In this multi-center retrospective study, 559 patients with double invasion who underwent curative gastrectomy between May 2002 and December 2020 were analyzed. Prognostic factors for PFS were identified using Lasso-Cox regression. …”
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Shadow Investment Activity as a Factor of Macroeconomic Instability by Zolkover Andrii, Marin Georgiev

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Internal obesity as a risk factor for arterial hypertension by M. A. Druzhilov, T. Yu. Kuznetsova

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Impact of AI development on green total factor productivity by Wenhao Ding, Pan Hu

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Analysis of Risk Factors for Severe Postpartum Hemorrhage by Yongxin Zhang, Jing Zhang, Kaihua Guo, Yanan Gao, Yu Zhu, Guohua Zhang

“…The multivariate logistic regression results showed that BMI before pregnancy, past history of postpartum hemorrhage, prepartum APTT, prepartum fibrinogen (FIB) (g/L), pre-transfusion hemoglobin (g/L), pre-transfusion platelet count (×109), pre-transfusion coagulation function prothrombin time (PT), marginal placenta previa, placenta accreta, central placenta previa, IVF-ET pregnancy and antepartum hemorrhage were all independent risk factors for sPPH. …”
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Moderating Role of Health Services and Personnel on the Relationship between Education, Income, and Crude Birth Rate in Bogor Regency, Indonesia by Budi Susetyo, Novel Anak Lyndon, Yuggo Afrianto, Riny Kusumawati, Widyasari Widyasari, Fety Fatimah, Desmy Riani

“…The data were collected using a structured questionnaire. The data were analyzed using descriptive statistics, regression analysis, and moderating effect analysis. …”
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Factors That Influence the Level of Banking Profitability in Indonesia by Erliana Aditya, Karin Resnik, Susy Muchtar

“…This study examines the factors influencing the level of bank profitability in Indonesia. …”
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The role of genetic factors in the development of recurrent urolithiasis by A. V. Savilov, M. Jain, D. M. Anokhin, M. E. Kotsepuga, A. S. Tivtikyan, L. M. Samokhodskaya, D. A. Okhobotov, E. V. Afanasyevskaya, V. N. Mamedov, A. S. Shurygina, S. P. Shershnev, A. A. Kamalov

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Determinants of the growth of advertising agencies in the Republic of Serbia by Nuševa Daniela, Dakić Stojanka, Peštović Kristina, Vuković Bojana, Macura Nikola

“…The paper aims to identify factors that significantly impact the growth of advertising agencies. …”
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Sociological Analysis of the Factors Influencing the Voting Pattern by karim rezadoust, marziyeh shahriari, mona fazelipour

“…His aim of this study was to analyze the sociological factors influencing the voting pattern of the martyr Chamran University is. …”
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Analysis of influencing factors of the efficacy of endoscopic dacryocystorhinostomy by YAO Yuejiao, MO Ya

“…[Objective:] To analyze the influencing factors for effect of endoscopic dacryocystorhinostomy. …”
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Meningococcal infection in children: factors influencing outcome by O. V. Samodova, E. A. Krieger, L. V. Titova, O. Yu. Leonteva

“…Aim of the study was to analyze mistakes of diagnostics of meningococcal infection and to assess factors influencing the disease outcome. …”
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Statistical analysis of the financial state of the banking sector by O. G. Tretyakova, T. I. Chinaeva

“…The correlation-regression analysis of the  factors influencing the formation of the profit of the banking sector  showed that the most significant value is the volume of loans.  …”
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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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Congenital anomalies: Occurrence and potential risk factors by Pavlović Ivan, Plećaš Darko, Plešinac Snežana, Dotlić Jelena, Stojanović Nemanja

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Risk factors of ischemic stroke in hypertensive patients by V. V. Syvolap, S. P. Zhemanyuk

“…Method of logistic regression analyzes was used. Results. No statistician difference were found between the groups in age (63 ± 9,1 versus 64 ± 11,0 yrs.; р = 0,682, respectively), however, it was in sex parameter (64% male versus 39%; р=0,018, respectively). …”
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Generalized linear models applied to the analysis of the effectiveness of the Sterile Insect Technique by Guilherme Rodrigues, Ariane Campolim Cristino, Daniela R. Cantane, Helenice O. Florentino, Marco A. R. Fernandes, Paulo E. M. Ribolla, Rogerio A. Oliveira

“…The statistical analyzes showed the Negative Binomial regression model presented a better fit to the daily egg count data, when this model was compared to the Poisson model. …”
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MODELING HOUSE SELLING PRICES IN JAKARTA AND SOUTH TANGERANG USING MACHINE LEARNING PREDICTION ANALYSIS by Sugha Faiz Al Maula, Nicoletta Almira Dyah Setiawan, Elly Pusporani, Sa'idah Zahrotul Jannah

“…Despite government efforts through mortgage subsidy programs, affordability remains a concern, particularly in peripheral regions. This study aims to analyze housing prices in various Jakarta regions using machine learning models, including Multiple Linear Regression (MLR), Support Vector Regression (SVR), Light Gradient Boosting Machine (LGBM), and Random Forest. …”
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