Sociological Analysis of the Factors Influencing the Voting Pattern by karim rezadoust, marziyeh shahriari, mona fazelipour

“…In analyzing the data, descriptive statistics such as mean and frequency distribution tables and analytical methods, such as correlation and linear and logistic regression analysis were used. …”
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Analysis of influencing factors of the efficacy of endoscopic dacryocystorhinostomy by YAO Yuejiao, MO Ya

“…The results of Logistic regression analysis showed that inferior turbinate hypertrophy was a risk factor for the efficacy of En-DCR (P<0.05). …”
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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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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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Estimation of soil thickness in karst landforms using a quantile regression forests approach by Fayong Fang, Ruyi Zi, Zhen Han, Qian Fang, Rui Hou, Longshan Zhao

“…This indicates that the model, and environmental factors evaluated within, explained a little less than half of the spatial variability. …”
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Large biogenic contribution to boundary layer O3‐CO regression slope in summer by Ye Cheng, Yuhang Wang, Yuzhong Zhang, Gao Chen, James H. Crawford, Mary M. Kleb, Glenn S. Diskin, Andrew J. Weinheimer

“…The observations are simulated well by a regional chemical transport model. We analyze the model results to understand the factors contributing to the observed O3‐CO regression slope, which has been used in past studies to estimate the anthropogenic O3 production amount. …”
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Analyzing factors influencing dairy farmers’ intention to implement animal welfare practices: a case study of Germany by Henrike Grotsch, Henrike Grotsch, Marcus Mergenthaler, Holger Schulze

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Progressive Framework for Analyzing Driving Mechanisms of Ecosystem Services in Resource-Exhausted Cities: A Case Study of Fushun, China by Yuyan Pan, Yanpeng Gao, Hongchang Qian

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Thermal Mitigation in Coastal Cities: Marine and Urban Morphology Effects on Land Surface Temperature in Xiamen by Tingting Hong, Xiaohui Huang, Qinfei Lv, Suting Zhao, Zeyang Wang, Yuanchuan Yang

“…The study area was categorized based on the influence of marine factors, and the spatial relationships between urban morphological elements and LST were analyzed using a multiscale geographically weighted regression model. …”
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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

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Analysis of influencing factors for subcutaneous effusion after cranioplasty by LIU Yang, ZHANG Wen⁃yi, WANG Yun⁃peng, ZHAO Kun, WANG Jian, LIU Ai⁃xian

“…All the 29 patients recovered and there was no bleeding, scalp damage, implant exposure, poor wound healing and intracranial infection after the treatment. Logistic regression analysis showed that age increase (OR = 1.075, 95%CI: 1.027-1.126; P = 0.002), polyether ⁃ ether ⁃ ketone (PEEK) repair material (OR = 7.673, 95%CI: 2.227-26.435; P = 0.001) and 24 h drainage increase before drain removal (OR = 1.026, 95%CI: 1.008-1.044; P = 0.004) were risk factors for SCE after cranioplasty. …”
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Hybridizing Grid Search and Support Vector Regression to Predict the Compressive Strength of Fly Ash Concrete by Fei Tang, Yanqi Wu, Yisong Zhou

“…Support vector regression (SVR) has been applied to the prediction of mechanical properties of concrete, but the selection of its hyperparameters has been a key factor affecting the prediction accuracy. …”
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Integrating machine learning and symbolic regression for predicting damage initiation in hybrid FRP bolted connections by Sherif Samy Sorour, Chahinaz Abdelrahman Saleh, Mostafa Shazly

“…A design of experiments approach structured the dataset, and feature selection identified key factors influencing joint performance. ML models assessed dataset quality, with Huber regression emerging as the best-performing model. …”
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Adjustment terms and coefficients of nonlinear regression-based kurtosis-adjusted equivalent sound level method by Jinzhe LI, Anke ZENG, Jiarui XIN, Yang LI, Linjie WU, Haiying LIU, Yan YE, Meibian ZHANG

“…MethodsA cross-sectional study design was employed, enrolling 1034 manufacturing workers and evaluating noise exposure to estimate hearing loss metrics. Quantile regression analysis quantified the proportional contributions of influencing factors for noise-induced permanent threshold shift at 3, 4, and 6 kHz frequencies (NIPTS₃₄₆). …”
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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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Determinants of the growth of advertising agencies in the Republic of Serbia by Nuševa Daniela, Dakić Stojanka, Peštović Kristina, Vuković Bojana, Macura Nikola

“…The research was conducted on a sample of 561 observations of indicators from the financial reports of advertising agencies with the application of panel regression analysis. The research results primarily indicate that advertising agencies on average achieve a positive growth in sales revenue, which indicates the stability of business over a long period of time. …”
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Trend analysis of pressure ulcers in adults 60 years and older from 1990 to 2021 using jointpoint regression and Bayesian age period cohort models by Yueshan Pang, Yanbin Du, Wei Zhou, Shan Liu, Yiran Yuan

“…Joinpoint regression analysis was used to assess temporal trends, and a Bayesian age period cohort (BAPC) model was applied to forecast future burdens. …”
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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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Predictors of exclusive breastfeeding: a systematic review and meta-analysis by Mehri Kalhor, Mansoureh Yazdkhasti, Masoumeh Simbar, Sepideh Hajian, Zahra kiani, Behjat Khorsandi, Mahtab Sattari, Zainab Ezadi, Haniyeh Nazem, Massoma Jafari

“…This study systematically reviews and analyzes the predictors of EBF. Methods This study is a systematic review and meta-analysis. we searched electronic databases including PubMed/MEDLINE, Web of Science, PsycINFO, Cochrane, Scopus, EMBASE, Google Scholar, SID, and Magiran. we examined articles published between 2000 to 2023 using keywords like "risk factors", "related factors", "predictive factors", "exclusive breastfeeding ", and "women". …”
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Analyzing the spatiotemporal effects of meteorological factors on hand, foot and mouth disease using mixed geographically and temporally weighted autoregressive models by Huiguo Zhang, Geng Chen, Mengqi Chen, Siang Wang, Zhi Zhang

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