Developing PM₂.₅ mitigation solutions based on the analysis of the relationships between PM₂.₅ concentrations and precursor factors: a case study of Hanoi, Vietnam by Long Ta Bui, Binh Quoc Pham, Tho Thi Be Cao

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Assessing psychological resilience and its influencing factors in the MSM population by machine learning by Yiwei Zhou, Zejie Zhang, Fanglv Xiang, Minlu Xu, Zumu Zhou

“…Data were collected from 1,070 MSM via an online survey in Zhejiang and the other 17 provinces, China, covering demographics, HIV-status and psychological factors. Psychological resilience and its influencing factors were analyzed using the Chi-square Automatic Interaction Detector (CHAID) decision tree and multivariable ordinal logistic regression. …”
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Logistic Regression Analysis of Clinical Characteristics for Differentiation of Chronic Obstructive Pulmonary Disease Severity by Shuaixing Guo

“…Univariate logistic regression analysis showed that WBC, NEUT, MONO, PLT, and NLR were contributing factors of severe COPD, while PaCO2 was an unfavorable factor of severe COPD. …”
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Strategic analysis of influence of external and internal factors on stability of the banking sector of a financial system by A. V. Milenkov

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Hospitalization costs of oral cancer patients in Southeast of China: a quantile regression analysis by Xiaodan Bao, Weihai Huang, Yulan Lin, Fa Chen, Fengqiong Liu, Yu Qiu, Bin Shi, Lisong Lin, Jing Wang, Baochang He

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Anemia prevalence and associated factors among students benefiting from the rural compulsory education nutrition improvement program in Jilin province in 2023: a cross-sectional st... by Hongli CUI, Xingang ZHANG, Liwei ZHANG, Bo LUAN, Sijie LIU

“…The chi-square test and multivariate binary logistic regression analysis were used to analyze the anemia status and its influencing factors among the students. …”
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Classification of traffic accidents’ factors using TrafficRiskClassifier by Wei Sun, Lili Nurliyana Abdullah, Fatimah binti Khalid, Puteri Suhaiza binti Sulaiman

“…Furthermore, the TrafficRiskClassifier model delineates a functional nexus between accident risk and variables such as weather, road conditions, and personal factors, employing a polynomial regression approach. …”
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ANALYZING THE EFFECTIVE FACTORS IN REDUCING APPLE WASTES IN WEST AZARBAIJAN PROVINCE by Hazhar PANAH, Loghman RASHIDPOUR, Soleiman RASOULIAZAR

“…The reliability of the questionnaire was confirmed by Cronbach Alfa coefficient (83%). The data was analyzed by using descriptive and inferential methods (percent, mean, correlation coefficient and regression analysis) by using SPSS statistical software. …”
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Preoperatory treatment of adenocarcinoma of the rectum: historical analysis and correlation between tumor regression grade and the outcomes by Jeziel Basso, Daniel de Carvalho Damin, Luis Fernando Moreira, Marta Nassif Pereira Lima, Sergio Jobim de Azevedo, Rodrigo Perez Pereira

“…The pathological tumor regression grade is an important prognostic factor. …”
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Applying a logistic regression-clustering joint model to analyze the causes of prolonged pre-analytic turnaround time for urine culture testing in hospital wards by Shuangshuang Lv, Huan Ye, Yuan Li, Jian Zhang

“…Post-intervention data (May 2024–July 2024, *n* = 1,456) was also analyzed to assess the impact.ResultsAnalysis of the critical risk factors revealed that specimens collected between 04:00–05:59/10:00–11:59 had 142.92-fold higher delay odds (95% CI: 58.81–347.37). …”
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Public health nurse density and associated factors across Japan: an ecological study by Mayumi Mizutani, Ritsuko Nishide, Naoko Nishitani, Harumi Bando, Junko Nishimura, Susumu Tanimura

“…Ordinary least squares (OLS) regression and quantile regression (QR) models were used to analyze the identified regional factors associated with PHN density. …”
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Machine learning-based prediction of post-induction hypotension: identifying risk factors and enhancing anesthesia management by Ming Chen, Dingyu Zhang

“…Machine learning is an effective tool to analyze large amounts of data and identify perioperative complication factors. …”
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Improving residential environments: analyzing factors influencing individual travel and neighborhood environment by Youngin Song, Seok Lee, Gunwon Lee

“…A multiple regression analysis was conducted to evaluate the effects of individual, household, and land-use characteristics on travel behavior. …”
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Spatial–temporal evolution and associated factors of older adult care institutions in Shanghai by Xingxing Yin, Jinghang Cui, Yifan Wu, Mingxuan Cui, Kun Li, Haoxiang Guo

“…This study is based on data from 1,272 older adult care institutions in Shanghai. It uses spatial analysis methods to visually display the spatial evolution of older adult care institutions in the city and analyzes the influencing factors of their spatial distribution patterns using a geographic detector approach.MethodsThe research methodology used in the study includes Kernel Density Estimation for visualizing the spatial distribution of older adult care institutions in Shanghai, the Rand Index for measuring the match between older adult care institutions and the older adult population, and Geographically Weighted Regression for addressing spatial heterogeneity by providing local estimates for regression coefficients at different geographical locations.ResultsThe number of older adult care institutions in Shanghai has seen significant growth over the past 20 years, increasing fourfold due to the rise in both public and private facilities. …”
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Multivariate Regression Analysis and Statistical Modeling for Summer Extreme Precipitation over the Yangtze River Basin, China by Tao Gao, Lian Xie

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Prevalence of autoimmune diseases is strongly associated with average annual temperatures: systematic review and linear regression analysis by Konstantinos Voskarides, Sofia Philippou, Mariam Hamam, Konstantinos Parperis

“…We aimed to investigate the prevalence of five main autoimmune diseases in 201 countries according to average annual temperatures. Methods Linear regression analysis was performed for 201 countries by analyzing average annual temperatures and age-standardized rates (prevalence) of five autoimmune diseases: alopecia areata, diabetes mellitus (DM) type 1, inflammatory bowel disease (IBD), psoriasis and rheumatoid arthritis (RA). …”
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Dynamics of goat population and production in Papua and West Papua Provinces: Correlation and regression analysis (2000-2023) by Mohamad Jen Wajo, Johan F. Koibur, Deni A. Iyai, Stepanus Pakage, Freddy Pattiselanno, John Arnold Palulungan

“… This study investigates the trends in goat population and meat production in Papua and West Papua from 2000 to 2023, analyzing the relationship between population growth, production output, and key management factors. …”
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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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A Bayesian Logistic Regression approach in Asthma Persistence Prediction by Ioannis I. Spyroglou, Gunter Spöck, Eleni A. Chatzimichail, Alexandros G. Rigas, E.N. Paraskakis

“…Methods: Data from 147 asthmatic children were analyzed by a new method for predicting asthma outcome using Principal Component Analysis (PCA) in combination with a Bayesian logistic regression approach implemented by the Markov Chain Monte Carlo (MCMC). …”
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RAINFALL MODELING USING THE GEOGRAPHICALLY WEIGHTED POISSON REGRESSION METHOD by Atiek Iriany, Wigbertus Ngabu, Danang Ariyanto

“…The results of the GWR analysis provide a deeper understanding of the spatial differences in the influence of these factors on rainfall. …”
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