Typology Visual Guidelines for Transit-Oriented Development 3-D Incentive Zoning in East Asian Metropolitan Cities—A Case Study of Shanghai Subway-Adjacent Plots by Yuchen Zhou, Anqi Liu, Runtian Shen, Yu Yan

“…In this research, a multiple linear regression model is employed, using GNCS_AR (the ratio of ground non-commercial stay to area), which captures both efficiency and equity in public space quality, as the dependent variable. …”
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Reconstructing Long-Term, High-Resolution Groundwater Storage Changes in the Songhua River Basin Using Supplemented GRACE and GRACE-FO Data by Chuanqi Liu, Zhijie Zhang, Chi Xu, Wanchang Zhang

“…In this study, we develop a regional downscaling model based on the linear regression relationship between GWSA and environmental variables, reducing the grid resolution of GWSA obtained from GRACE from approximately 25 km to 1 km. …”
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Ultrasonography of Optic Nerve Sheath Diameter in Healthy Volunteers by Ariel Sosa Remón, Wilfredo Boch Rodríguez, Dasha María García Arias, Carmen Esther Remón Chávez, Ana Esperanza Jerez Álvarez, Arian Jesús Cuba Naranjo

“…The relationship between the variables was determined by simple logistic regression analysis with the SPSS 22.0 statistical package.…”
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Factors associated with total cholesterol and blood glucose levels among Afghan people aged 18-69 years old: Evidence from a national survey. by Giti Azim, Hosna Hamidi, Mohammad Shafi Azim, Bahara Rasoly, Mohammad Hasher Azim, Sultan Ahmad Halimi, Mohamed Mostafa Tahoun, Jamshed Tanoli

“…The total sample size in the original study was 3,972 and a multi-stage cluster sampling method was used. Total cholesterol and blood glucose were the outcome variables for this study; simple and multiple linear regression was performed to find the associated factors for the outcome variables using a designed-based modeling incorporating sampling techniques and weights. …”
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Leveraging machine learning for duration of surgery prediction in knee and hip arthroplasty – a development and validation study by Benedikt Langenberger, Daniel Schrednitzki, Andreas Halder, Reinhard Busse, Christoph Pross

“…We therefore aimed (1) to identify whether machine learning can predict DOS in HA/KA patients using retrospective data available before surgery with reasonable performance, (2) to compare whether machine learning is able to outperform multivariable regression in predictive performance and (3) to identify the most important predictor variables for DOS both in a multi- and single-hospital context. …”
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Examining the psychosocial drivers of handwashing behaviour among school children by Emmanuel Appiah-Brempong, Miriam Appiah-Brempong

“…Data were analysed using multi-variable linear regression models.Results Participants’ knowledge of hand hygiene failed to predict behavioural intention and handwashing behaviour. …”
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Determinants of left atrial appendage volume in stroke patients without chronic atrial fibrillation. by Mikko Taina, Petri Sipola, Antti Muuronen, Marja Hedman, Pirjo Mustonen, Anne-Mari Kantanen, Pekka Jäkälä, Ritva Vanninen

“…<h4>Results</h4>In linear regression analysis, the best model accounted for 30% of the variability in LAA volume, including PAF (19%) and enlarged left atrial volume (6%), enlarged left ventricle end-systolic diameter (3%) and decreased pericardial adipose tissue (2%). …”
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The role of women in the good governance of Semnan in the corona and post-corona era by Mehdi Asghari, Zeinab Karkehbadi, Abbas Arghan

“…To analyze the data, single-sample t-tests and multivariate linear regression were employed. Finally, to generalize the results from the sample to the statistical population, structural equation modeling was conducted using Lisrel software. …”
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The Relation between Contraception Methods and Quality of Life by Narjes Bahri, Hamid R Tohidinik, Roghayeh R Bilandi, Mona Larki, Fatemeh Hooshangi, Maliheh Soltanian

“…After performing different statistical tests in bivariate analysis, the multi-variable linear regression was used to assess the association between method of contraception and domains of quality of life adjusting for other confounding factors Results: Women with Tubal sterilization had significant worse “physical functioning” [adjusted regression coefficient=-5.14 (95%CI:-10.2 to -0.01)] but better “general health perceptions” [adjusted regression coefficient=6.8(95%CI: 2.1 to 11.5)] than those preferring male condom (reference). …”
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Evaluation of machine learning algorithms in tunnel boring machine applications: a case study in Mashhad metro line 3 by Morteza Abbasi, Amir Hossein Namadchi, Mehdi Abbasi, Mohsen Abbasi

“…To address these complexities, several machine learning models—Multiple Linear Regression (MLR), Decision Trees (DT), and Multi-Layer Perceptron (MLP) neural networks—were applied to predict TBM penetration rates and assess model efficacy. …”
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Isothermal crystallization kinetics of poly(ethylene terephthalate) and poly(methyl methacrylate) blends

“…The experimental data was fitted using Solver, a non-linear multi-variable regression program and linearization method. …”
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Effect of the Big Five Personality on the intention to use mHealth applications among the Chinese elderly: a national-based study by Jinghui Chang, Jinghui Chang, Anqi Li, Xixi Yang, Chunnan Li, Yanshan Mai, Dayi Zhang, Wende Yan, Yibo Wu, Jiangyun Chen

“…The effect of personality on the intention to use mHealth applications among older adults was analyzed by multiple linear regression. The independent variable was the personality, using the short version of the Big Five Personality Inventory (BFI-10). …”
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Interaction between triglyceride-glucose-body mass index and age in coronary artery stenosis severity: a sex-stratified exploratory analysis​ by Pingxiong Zeng, Jingdan Deng, Yuting Zhong, Liping Zhong, Yuanjun Zhou, Yilin Liao, Zhiyan Xu

“…Sex-stratified analyses revealed a near-linear relationship between TyG-BMI and multi-vessel CAS risk in men (p-nonlinear = 0.040) but not in women (p-nonlinear = 0.317). …”
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Generalized Propensity Score Matching with Multilevel Treatment Options by Onur Baser

“…The propensity score is estimated using multinomial logistic regression. The outcome variable was total annual health care costs. …”
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Anxiety, depression, and post-traumatic stress and associated risk factors among out-of-school girls in western Kenya. by Philip Spinhoven, Susan Nungo, Anna Maria van Eijk, Elizabeth Nyothach, Linda Mason, David Obor, Daniel Kwaro, Penelope A Phillips-Howard, Garazi Zulaika

“…Survey data were analysed with univariable and multivariable binary logistic and multiple linear regression analyses using SPSS 29.0.<h4>Findings</h4>The prevalence of probable anxiety was 10.6%, of probable depression 15.9%, and of probable PTSD 18.0%. …”
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Cross-sectional association between plasma aldosterone concentration and cognitive performance by mini-mental state examination in community dwellers by Aketilieke Nusufujiang, Mulalibieke Heizhati, Nanfang Li, Ling Yao, Wenbo Yang, Hui Wang, Mei Li, Lin Gan, Adalaiti Maitituersun, Miaomiao Liu, Qiaolifanayi Nuermaimaiti, Li Cai, Xiayire Aierken, Xiufang Li, Qin Luo, Jing Hong

“…Cognitive status was assessed using mini-mental state examination (MMSE) questionnaire. Multi-variable linear and logistic regression were used to explore the association between log PAC and log MMSE score, and between tertiled PAC (the higher PAC as the exposure) and low cognitive performance, respectively, in total, apparently healthy and diseased participants. …”
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Finite Element and Machine Learning-Based Prediction of Buckling Strength in Additively Manufactured Lattice Stiffened Panels by Saiaf Bin Rayhan, Md Mazedur Rahman, Jakiya Sultana, Szabolcs Szávai, Gyula Varga

“…Moreover, the relationship of the parameters was found to be non-linear. Finally, the data samples collected from numerical outcomes were utilized to train four different machine learning models, namely multi-variable linear regression, polynomial regression, the random forest regressor and the K-nearest neighbor regressor. …”
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Probabilistic Restoration Modeling of Wide-Area Power Outage by Nicholas Willems, Bandana Kar, Samuel Levinson, Benjamin Turner, John Brewer, Marija Prica

“…Using the log-linear regression model to forecast restoration time is viable, as all input data are publicly available prior to or at storm onset; however, the model reliability would benefit from expanding the scope of predictors and training data.…”
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Urban mobility and comorbidities on the incidence and death from COVID-19 in the MAVM by María Victoria Chávez Hernández, Giovanni Wences

“…Methodological design: Two multi-linear regression models were fitted, considering the COVID-19 incidence rate and COVID-19 death rate as dependent variables. …”
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Evaluation of the responsiveness of the Iranian health system to the needs of the elderly during the COVID-19 pandemic: a community-based study by Sepideh Niazie, Heshmatolah Heydari, Hadi Hayati, Ali Dehghani

“…According to multiple linear regression analysis, the variables of age, gender, education level, medical history, number of children, marital status, and monthly income had a significant relationship with the total health responsiveness score (P <.005). …”
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