Clinical and Dosimetric Predictors of Early Onset Postradiation Hypothyroidism in Patients with Head and Neck Malignancies: A Logistic Regression Analysis by Ahmad Ameri, Zohreh Azma, Khashayar Fattah, Fereshteh Talebi, Pooya Ameri, Nazanin Rahnama, Mansour Lesan, Sanaz Poshtmahi, Farahnaz Rahimi, Marjan Mirsalehi, Farzad Taghizadeh-Hesary

“…This study aims to investigate the clinical and dosimetric factors that may predict early onset postradiation hypothyroidism (EO-PRH). …”
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Study on the efficiency of health resource allocation in the western region of China–based on three-stage DEA and Tobit regression analysis by Dongxue Zhao, Hua Huang, Yu Zhang, Shuanghang Li

“…Abstract Objective To analyze the allocation efficiency of health resources in the western region of China, and to explore the influence of external environmental factors on the allocation efficiency, to provide reference for optimizing the allocation of resources. …”
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MATHEMATICAL MODELING IN THE CONTENT OF STUDENTS-ECOLOGISTS’ TRAINING OF MATHEMATICS by S. I. Toropova

“…Mathematical modeling of the links between the health indicators of the population of the Kirov region and habitat factors was carried out using multiple correlation-regression analysis. …”
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Generalized linear mixed model approach for analyzing water, sanitation, and hygiene facilities in Bangladesh: Insights from BDHS 2022 data. by Mahmila Sanjana Mim, Md Lutfor Rahaman, Anamul Haque Sajib

“…This study explores the key determinants and barriers to effective WASH facilities in Bangladesh, which are crucial for mitigating health issues and ensuring equitable access. By analyzing the 2022 Bangladesh Demographic and Health Survey (BDHS) data and accounting for design clustering using a Generalized Linear Mixed Model (GLMM), this study's methodology demonstrates superior performance compared to conventional logistic regression, as supported by Akaike Information Criterion (AIC) and likelihood ratio test (LRT). …”
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Analysis of spatial and temporal distribution of grassland yield under grassland ecological subsidy policy by ZhanMing Qiao, Feng Lai, ZengLian Xiong, QuanMin Dong, Yang Yu, ChunPing Zhang, Quan Cao

“…Additionally, the effects of three meteorological factors, namely, annual mean temperature, annual precipitation, and annual evapotranspiration, and two terrain factors, namely, elevation and slope, on grassland yield were analyzed. …”
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Measuring and Analyzing the Impact of Some Macroeco-nomic Variables on Exports in Emerging Countries for 2000-2020: A Panel Data Analysis by Mohammed Mustafa Braim Hassan, Hewa Othman Ismael, Idrees Ramadhan Haji

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Determination of Effective Weather Parameters on Rainfed Wheat Yield Using Backward Multiple Linear Regressions Based on Relative Importance Metrics by Mehdi Bahrami, Ali Shabani, Mohammad Reza Mahmoudi, Shohreh Didari

“…Since the weather is the most important factor affecting the production of wheat, particularly in rainfed cultivation, regression models using weather parameters are very common. …”
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Analysis of the Stability of the Banking Sector of Azerbaijan in Conditions of Economic Crisis Based on the Econometric Model by S. M. Huseynova, T. Ja. Hajizada

“…To eliminate it, Newey-West corrections are applied, adjusting the variation-covariance matrix to obtain more consistent estimates of regression coefficients.Results. When selecting indexes to study the degree of impact of macroeconomic factors on the stability of the banking sector, we took into account the peculiarities of the economy of our country. …”
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Child mortality among ever married women aged 15 to 49 years in Ethiopia using multilevel count regression models by Buzuneh Tasfa Marine, Dagne Tesfaye Mengistie, Mihiret Genene Zewde, Kitesa Biresa Duftu, Habitamu Wudu, Maru Zewdu Kassie, Abraham Lomboro Dimore, Chekol Alemu, Firew Tiruneh Tiyare

“…This study aimed to identify key determinants of child mortality among ever-married women aged 15–49 in Ethiopia using advanced multi-level count regression models. Methods This study used data from the Ethiopia Demographic and Health Survey (EDHS), Data from 16,650 women were analyzed using single-level and multi-level count models, including Poisson, negative binomial, zero-inflated, and hurdle models. …”
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Spatial variation and predictors of anemia among women of reproductive age in Mozambique, 2022/23: a multiscale geographically weighted regression by Deresse Abebe Gebrehana, Tadesse Tarik Tamir, Gebretsadik Endeshaw Molla, Yishak Kebede, Dejen Tegegne, Solomon Gedlu Nigatu, Araya Mesfin Nigatu

“…A weighted sample of 5,907 women of reproductive age was analyzed using ArcGIS 10.7. Multiscale geographically weighted regression was employed to identify predictors of anemia.ResultsThe national prevalence of anemia among women of reproductive age in Mozambique was 51.89% (95% CI: 50.66, 53.12%). …”
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Financial Dynamics of Cooperatives of the Popular and Solidarity Economy of Ecuador: An Analysis Using the Tucker3 Model and Projection with Multidimensional Neutrosophic Regressio... by Gabriela Valeria Bustos–Chiliquinga, Purificación Galindo-Villardón, Cristian Cornejo Gaete

“…A population sample of 25 cooperatives belonging to segment 1 was analyzed in terms of their behavior across seven significant financial variables for eight consecutive years, factoring into a 25×7×8 tensor. …”
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AI enhanced model predictive control for optimizing LPG recovery through integrated computational modeling design of experiments and multivariate regression by Basma Abd El Hakim, Mahmoud Abdel-Halim Abdel-Goad, M. E. Awad, Abeer M. Shoaib

“…Response surface methodology (RSM) was applied to steady-state simulation results to analyze key process variables. Feed molar flow rate was the most influential factor, while pressure-related variables showed minor but statistically significant effects. …”
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LASSO regression-based nomogram for distinguishing nontuberculous mycobacterial pulmonary disease from pulmonary tuberculosis: a clinical risk prediction model by Wei Zhang, Tuantuan Li, Haiqing Liu, Xiaoyu Cao, Hao Yan, Yong Gao

“…By gathering clinical data and laboratory inflammation markers of the patients, key predictive factors were identified using LASSO regression. These factors were further analyzed through univariate and multivariate logistic regression analysis to determine the influencing factors of NTM-PD, thereby constructing a nomogram prediction model. …”
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THE SCIENTIFIC AND METHODOLOGICAL ASPECTS OF THE PROBLEM OF MIGRATION PROCESSES MODELING IN THE SUBJECTS OF THE RUSSIAN FEDERATION by R. V. Fattakhov, M. M. Nizamutdinov, V. V. Oreshnikov

“…We applied the methods of structural, dynamic and factor, correlation and regression analysis. We calculated a set of regression equations describing the relationship between the obtained indicators of social, economic, financial development of the territory and the coefficients of migration growth, taking into account the territorial belonging of the regions, and allowing to conduct model experiments to predict the level of migration in individual regions and in the context of territorial macro-systems. …”
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Pedestrian gap acceptance behavior at unsignalized mid-block crossing under mixed traffic conditions by Satanan Piyalungka, Kunnawee Kanitpong, Ampol Karoonsoontawong

“…Multiple linear regression and binary logit regression models were developed to identify the factors affecting accepted gap size and gap acceptance behavior. …”
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Comparison of light gradient boosting and logistic regression for interactomic hub genes in Porphyromonas gingivalis and Fusobacterium nucleatum-induced periodontitis with Alzheime... by Pradeep Kumar Yadalam, Shubhangini Chatterjee, Prabhu Manickam Natarajan, Carlos M. Ardila, Carlos M. Ardila

“…This study compares the performance of light gradient boosting and logistic regression in identifying interactomic hub genes in P. gingivalis and F. nucleatum-induced periodontitis with those in Alzheimer's disease.MethodsUsing the GSE222136 dataset, we analyzed differential gene expression in periodontitis and Alzheimer's disease. …”
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Age as a risk factor for suicide by Kocić Sanja S., Milić Časlav T., Grbić Gordana G., Plašić Aleksandar H., Tatić Zoran V.

“…Committing suicide by hanging was the most frequent way of suicide among any age groups. Univariant regression analysis failed to show any impact of age on the analyzed factors. …”
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Trends in burden and mortality of congenital birth defects in G20 countries (1990–2021) and predictions for 2022–2040 by Xiangwen Li, Pengfei Qu, Pu Yan, Yule Kou, Jian Song, Di Wu, Jiayi Wang, Siyu Pan, Yufei Liu, Xinrui Li, Rongqiang Zhang

“…Spearman correlation analysis with locally weighted regression, supplemented by 10,000 bootstrap iterations for robustness validation was used to examine the associations between the socio-demographic index (SDI), healthcare access and quality (HAQ) index, Summary exposure value (SEV) of risk factor exposure, and ASR. …”
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Comparison of the quality of logistic regression models and a classification tree in predicting hospital mortality in elderly patients with non-ST-elevation myocardial infarction by K. G. Pereverzeva, S. S. Yakushin, N. N. Peregudova, M. V. Mishutina

“…Based on the construction of a binary logistic regression, it was found that the factors increasing hospital mortality were cardiogenic shock (CS): odds ratio (OR) 47.55; 4.00-589.16; p=0.002; new-onset atrial fibrillation: OR 6.45; 1.39-30.42; p=0.018; and the number of points on the GRACE scale: for each increase by 1 point: OR 1.03; 1,00-1,05; p=0.046. …”
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Socio-demographic characteristics associated with SF-6D v2 utility scores in patients undergoing dialysis in China: contributions of the quantile regression by Ye Zhang, Li Yang, Zeyuan Chen

“…Conclusion Quantile regression offers a valuable complement in analyzing factors associated with utility scores among Chinese dialysis patients. …”
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