Modeling the hospitalization time of stroke patients at Abdul Wahab Sjahranie Hospital Samarinda using the Weibull Regression Model by Suyitno, Darnah, Andrea Tri Rian Dani, Nurul Tri Oktavia

“…Some highlights in this article, the proposed method are: • We present The Weibull distribution influenced by covariates is called the Weibull regression model • The potential recovery of stroke disease and the factors that influence it can be analyzed through Weibull regression modeling. • The chance of a patient not recovering is modeled through a Weibull survival regression model, the chance of a patient recovering is modeled through a Weibull cumulative distribution regression model, the patient's recovery rate is modeled through a Weibull hazard regression model, and the average patient hospitalization time is modeled through a Weibull mean regression model.…”
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Prediction model of pelvic lymphocysts after cervical cancer surgery based on logistic regression or support vector machine by WANG Jiao, GAO Hui, ZHAO Bo

“…In the training set, univariate and multivariate logistic regression were used to analyze the risk factors for the formation of pelvic lymphocysts within 14 days after cervicalcancer surgery. …”
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University Students Stress Detection During Final Report Subject by Using NASA TLX Method and Logistic Regression by Alfita Khairah, Melinda, Iskandar Hasanuddin, Didi Asmadi, Riski Arifin, Rizka Miftahujjannah

“…The results showed that 19 out of 30 respondents experienced significant levels of stress and 11 respondents were in normal conditions, with the main causal factors including high academic pressure and distance regarding the future. …”
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DETERMINING AGRICULTURAL INSURANCE PREMIUMS USING THE BLACK-SCHOLES APPROACH BASED ON LINEAR REGRESSION OF POTATO PRODUCTION AND PRICES by Sri Purwani, Sarah Sutisna, Rayyan Al Muddatstsir Fasa

“…In addition, this research analyzes the factors that influence prices by focusing on the relationship between potato production levels and market prices. …”
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Regression Analysis of Heat Release Rate for Box-Type Power Bank Based on Experimental and Machine Learning Methods by Shihan Luo, Hua Chen, Xiaobing Mao, Wenbing Zhu, Yuanyi Xie, Wenbin Wei, Mengmeng Jiang, Chenyang Zhang, Chaozhe Jiang

“…This study uses experimental testing and machine learning regression analysis to explore the heat release rate (HRR) characteristics and influencing factors of box-type power banks under fire conditions. …”
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An Innovative Smart Irrigation Using Embedded and Regression-Based Machine Learning Technologies for Improving Water Security and Sustainability by Abdennabi Morchid, Abdennacer Elbasri, Zahra Oughannou, Hassan Qjidaa, Rachid El Alami, Badre Bossoufi, Saleh Mobayen, Pawel Skruch

“…Using ML algorithms like linear regression algorithms to model the relationships between environmental factors and crop water requirements, enabling accurate prediction of required irrigation levels based on data collected by sensors. …”
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Identifying the spatiotemporal evolution of nucleic acid testing sites and their influencing factors to support public health emergency management: A case study in Hangzhou, China by Song Yao, Mingjun Cheng, Yunchen Zhu, Xiangyang Quan, Fangqi Wang, Zhaoxuan Xia, Shan Huang, Yonghua Li

“…We leveraged Python to obtain NAT site data, utilized geographic information systems to analyze the spatiotemporal dynamics of these sites, and employed the optimal parameter-based geoDetector (OPGD) model and geographically weighted regression (GWR) model to identify their influencing factors. …”
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Trends and delays in pulmonary tuberculosis diagnosis among elderly patients (≥ 60 Years) in Southern China: a 13-year surveillance data analysis (2010–2022) by Fangjing Zhou, Qi Sun, ShanShan Huang, Jianwei Li, Yuhui Chen, Huiying Feng

“…Trends in annual delays were examined using a Joinpoint regression program. Both univariate and multivariate logistic regression analyses were conducted to identify factors influencing TDD. …”
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Efficiency optimization of a hybrid Savonius-Darrieus hydrokinetic turbine via regression modeling and CFD-based design of experiments by Mateo Arrieta-Gomez, Sebastián Vélez-García, Diego Hincapié Zuluaga, Juan C. Tejada, Daniel Sanin-Villa

“…By iterating the regression model within the studied factor levels, the optimal parametric configuration for the hybrid turbine was determined to be 0.2 for the radius ratio, 50° for the coupling angle, and 2.2 for the TSR, resulting in an efficiency of 55.19%. …”
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Building a risk prediction model for anastomotic leakage postoperative low rectal cancer based on Lasso-Logistic regression by Zhenhao Quan, Lin Lin, Renwei Huang, Kaiyu Sun, Feipeng Xu

“…The data of each group were collected, and the influencing factors of AL in patients postoperative with rectal cancer in the training set were analyzed by Lasso-Logistic regression model. …”
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Farmers willingness to participate in integrated watershed management practice in North West Ethiopia using logistic regression model approach by Tadsual Asfaw Dessie, Abebaw Abebe Getahun, Yohannes walie Guadie

“…According to the findings of the binary logistic regression model, slope of farm land, perception of respondents about soil erosion as a problem, participation in training, age, education status, and family size were determining factors for farmers’ willingness to participate in integrated watershed management practices. …”
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Identifying small thymomas from other asymptomatic anterior mediastinal nodules based on CT images using logistic regression by Wenfeng Feng, Runlong Lin, Wenzhe Zhao, Haifeng Cai, Jingwu Li, Yongliang Liu, Lixiu Cao, Lixiu Cao

“…This performance was superior to CTV alone (AUC = 0.849, P = 0.118) and significantly higher than other individual risk factors in the internal testing set (P < 0.05). …”
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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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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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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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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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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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