Prediction models of iron level in beef muscle tissue toward ecological well-being by K. Narozhnykh

“…Furthermore, no signs of multicollinearity exist between the main effects of the model (variance-inflation factor = 1.2–1.7).CONCLUSION: The model can be used for the intravital analysis of iron level in the muscle tissue of cattle. …”
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Relationship Between Body Mass Index and Low Skeletal Muscle Mass in Adults Based on NHANES 2011–2018 by Rong-Zhen Xie, Xu-Song Li, Fang-Di Zha, Guo-Qing Li, Wei-Qiang Zhao, Yu-Feng Liang, Jie-Feng Huang

“…Variance inflation factors (VIF) confirmed the absence of multicollinearity. Lower BMI was significantly associated with higher odds of low muscle mass (adjusted OR: 0.508, 95% CI: 0.483–0.533, p < 0.001), while higher BMI exhibited a protective effect. …”
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Spatiotemporal Characteristics and Influential Factors of Electronic Cigarette Web-Based Attention in Mainland China: Time Series Observational Study by Zhongmin Zhang, Hengyi Xu, Jing Pan, Fujian Song, Ting Chen

“…A variance inflation factor test was performed to avoid multicollinearity. A spatial panel econometric model was developed to assess the determinants of e-cigarette web-based attention. …”
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Time to recovery of COVID-19 patients and its predictors: a retrospective cohort study in HUCSH, Sidama, Ethiopia by Ali B. Anteneh, Zeytu Gashaw Asfaw

“…Assumptions were met with no multicollinearity. Conclusions Recent studies found that about 95% of COVID-19 patients recover within 30 days, with a median of 12 days. …”
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Sustainable foam glass property prediction using machine learning: A comprehensive comparison of predictive methods and techniques by Mohamed Abdellatief, Leong Sing Wong, Norashidah Md Din, Ali Najah Ahmed, Abba Musa Hassan, Zainah Ibrahim, G. Murali, Kim Hung Mo, Ahmed El-Shafie

“…Data preprocessing involved Pearson correlation analysis to address multicollinearity and reveal nonlinear relationships among variables. …”
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Factors influencing waist circumference among urban bank employees in Northeast Ethiopia: a cross-sectional study by Woynshet Yimer, Lakew Asmare, Fikre Bayu Gebeyehu, Tihtna Alemu, Anisa Mehamed, Fanos Yeshanew Ayele

“…Normality, homoscedasticity, significant outliers, and multicollinearity were assessed, and a p-value of less than 0.05, along with a 95% confidence interval, was considered statistically significant.ResultsA total of 345 participants were included in the final analysis, with a 95% response rate. …”
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Anemia and Contributing Factors in Severely Malnourished Infants and Children Aged between 0 and 59 Months Admitted to the Treatment Centers of the Amhara Region, Ethiopia: A Multi... by Wubet Worku Takele, Adhanom Gebreegziabher Baraki, Haileab Fekadu Wolde, Hanna Demelash Desyibelew, Behailu Tariku Derseh, Abel Fekadu Dadi, Eskedar Getie Mekonnen, Temesgen Yihunie Akalu

“…The binary logistic regression analysis was employed to show an association between the dependent and independent variables. Multicollinearity was assessed using the variance inflation factor (VIF) and no problem was detected (overall VIF = 1.67). …”
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Hyperspectral imaging for precision nitrogen management: A comparative exploration of two methodological approaches to estimate optimal nitrogen rate in processing tomato by Vito Aurelio Cerasola, Francesco Orsini, Giuseppina Pennisi, Gaia Moretti, Stefano Bona, Francesco Mirone, Jochem Verrelst, Katja Berger, Giorgio Gianquinto

“…., Gaussian Process Regression (GPR), Support Vector Regression (SVR), and Partial Least Square Regression (PLSR). Multicollinearity of spectral bands was prevented with a principal component analysis, and models were 5-fold cross-validated. …”
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Assessment of public literacy in TB prevention and control in the National 13th Five-Year plan for Tuberculosis Prevention and Control (2016–2020) in China by Shuaihu Ni, Gang Chen, Jia Wang, Yuhong Li, Hui Zhang, Yan Qu, Yanlin Zhao, Xiaofeng Luo

“…Logistic regression was used to analyze the overall awareness of TB health literacy among people with different demographic characteristics. Multicollinearity and outliers were checked using VIF and box plots, respectively. …”
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Regional-scale precision mapping of cotton suitability using UAV and satellite data in arid environments by Jianqiang He, Yonglin Jia, Yi Li, Asim Biswas, Hao Feng, Qiang Yu, Shufang Wu, Guang Yang, Kadambot.H.M. Siddique

“…An optimized set of vegetation indices was identified through multicollinearity analysis and full subset selection. Six advanced machine learning methods, including Random Forest (RF), were used alongside the ratio mean method to effectively upscale soil water and salt content models from the field to the regional level. …”
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600 meters to VO2max: Predicting Cardiorespiratory Fitness with an Uphill Run by Kübra Stoican, Regina Oeschger

“…For the purpose of overcoming multicollinearity among the predictor variables speed to HR ratio, time, and gender, principal component analysis with two components was applied before we fed the data into the multiple linear regression model. …”
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Customer segmentation in the digital marketing using a Q-learning based differential evolution algorithm integrated with K-means clustering. by Guanqun Wang

“…Initially, a correlation matrix is used to identify redundant noise and multicollinear features within customer feature groups, and Principal Component Analysis is applied for denoising and dimensionality reduction to enhance the ability of the model to identify potential features. …”
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A Generalized Bridge Regression in Fuzzy Environment and Its Numerical Solution by a Capable Recurrent Neural Network by Delara Karbasi, Mohammad Reza Rabiei, Alireza Nazemi

“…We use a simulation study to depict the performance of the proposed bridge technique in the presence of multicollinear data. Furthermore, real data analysis is used to show the performance of the proposed method. …”
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