Analysis of drug pricing drivers under South Korea’s pharmaco-economic evaluation exemption policy (2015–2022) by Seung Rae Yu, Jong Hyuk Lee

“…Multiple and hierarchical regression models identify and quantify the key determinants of drug prices, controlling for multicollinearity among the variables.ResultsFrom 2015 to 2022, 30 new drugs were listed under the PEE system. …”
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Re-calibrating measurements of low-cost air quality monitors using PCR-GPR air quality forecasting models. by Bing Liu, Shuting Yang, Junqi Wang

“…First, we perform Principal Component Analysis (PCA) on the measurement data of the AQM to solve the multicollinearity problem. Through PCA, we successfully extracted 8 principal components, which not only contained 95% of the information in the original data, but also effectively eliminated the correlation between the variables, providing a more robust data base for subsequent modeling. …”
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Research on Characteristics and Influencing Factors of High Temperature Disaster Risk in Wuhan Based on Local Climate Zone by Shujing GUO, Li ZHANG

“…Furthermore, highly correlated LCZ types are screened out under the optimal size, the multicollinearity of all LCZ landscape pattern indices is examined and those with multicollinearity are excluded. …”
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Gene Selection Based Cancer Classification With Adaptive Optimization Using Deep Learning Architecture by Anju Das, N. Neelima, K. Deepa, Tolga Ozer

“…Furthermore, the presence of redundant or highly correlated selected features may lead to multicollinearity issues. In the existing works, certain limitations, such as reduced performance due to degraded data quality, high storage space requirements, overfitting issues, and lack of robustness, can compromise overall classification accuracy. …”
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Virological outcomes of antiretroviral therapy and its determinants among HIV patients in Ethiopia: Implications for achieving the 95-95-95 target. by Tegene Atamenta Kitaw, Ribka Nigatu Haile

“…Data analysis was conducted with STATA version 18, and multicollinearity was assessed using variance inflation factors. …”
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DETERMINANTS OF CORPORATE TAX AGGRESSIVENESS IN NIGERIAN DEPOSIT MONEY BANKS by Bilikisu Roseline Yusuf, Samson Adewale Adediran

“…Diɑgnostic tests were equɑlly cɑrried out such ɑs ShɑpiroWilk Test for normɑlity, Vɑriɑnce Inflɑtion Fɑctor (VIF) for multicollineɑrity test, Breusch-Pɑgɑn / Cook-Weisberg test for heteroskedɑsticity, Breusch ɑnd Pɑgɑn Lɑgrɑngiɑn multiplier test for rɑndom effects, ɑnd Hɑusmɑn Specificɑtion Test to determine ɑppropriɑte estimɑtion technique between fixed ɑnd rɑndom effect model. …”
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The prevalence and associated factors of the minimum acceptable diet among children aged 6-23 months in Ethiopia: A community-based cross-sectional study. by Girma Cheru Bikila, Godana Arero, Sultan Kalu, Kedir Teji Roba, Tesfaye Getachew Charkos

“…The variance inflation factor and tolerance test are used to check multicollinearity. Descriptive statistics of frequency (%) were used. …”
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Residential Density and Illegal Waste Dumping In Cities by Mahamba C, and Ruhiiga TM

“…Tests for normal distribution and for multicollinearity were carried on a set of predictor variables on size and location attributes, waste collection service, residential housing density, waste volumes and disposal practices. …”
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Effect of Board Accountability on Financial Performance of Selected SACCOs in Kiruhura District, Uganda. by Kyabarongo, Benon, Agaba, Moses, Byamukama, Eliab Mpora, Sunday, Arthur, Sekiwu, Denis

“…These statistics included multicollinearity, mean and standard deviation, outliers and extreme values, and missing values in the second phase, the structural relationships between the variables in the suggested conceptual model were tested and examined using structural equation modeling (SEM). …”
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The Effect of Board Risk Management on Financial Performance of Selected Saccos in Kiruhura District, Uganda. by Kyabarong, Benon, Agaba, Moses, Munyabonera, Francisis, Byamukama, Eliab Mpora, Kikawa, Cliff, Ahabwe, Oliver

“…These statistics included multicollinearity, mean and standard deviation, outliers and extreme values, and missing data. …”
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Effect of Board Accountability on Financial Performance of Selected SACCOs in Kiruhura District, Uganda. by Kyabarongo, Benon, Agaba, Moses, Byamukama, Eliab Mpora, Sunday, Arthur, Sekiwu, Denis

“…These statistics included multicollinearity, mean and standard deviation, outliers and extreme values, and missing values and in the second phase, the structural relationships between the variables in the suggested conceptual model were tested and examined using structural equation modeling (SEM). …”
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Factors associated with treatment response in chronic nonbacterial osteomyelitis at a single center: a retrospective cohort study by Katherine D. Nowicki, Nathan D. Rogers, Carson L. Keeter, Nathan J. Donaldson, Jennifer B. Soep, Yongdong Zhao

“…These models were optimized using variable combinations that minimized multicollinearity and maximized predictive power, as indicated by minimized AIC values. …”
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Factors affecting the profitability of banks - Evidence from Serbia's banking sector by Miloš Đaković, Nada Milenković, Jelena Andrašić

“…Further analysis includes the unit root test and the variance inflation factor analysis to check for stationarity and multicollinearity of the data. After testing, the authors establish a panel regression model using random and fixed effects, applying the Hausman test to establish a more valid model. …”
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Using selective NIR wavelengths in portable devices to evaluate the chemical composition of cattle feeds by Lorenzo Serva, Luisa Magrin, Giovanni Chillemi, Giorgio Marchesini, Daniele Pietrucci, Francesco Renzi, Riccardo Valentini, Igino Andrighetto, Marco Milanesi

“…Reducing the spectral data helps prevent multicollinearity issues, enabling the use of a minimal–optimal problem approach and supporting the development of a targeted and cost-effective instrument. …”
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Determining sensory drivers of complex metadescriptors through regression modelling by Emily Fisher, Charles Diako, Rebecca Shingleton, Sidsel Jensen, Joanne Hort

“…Least absolute shrinkage and selection operator (LASSO), a regression technique known for automatic predictor selection, and partial least squares regression, which handles multicollinearity, were compared for their ability to accurately identify the underlying sensory attributes driving creaminess perception.Twenty-eight sensory attributes were selected after discussions with milk consumers. …”
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Process variables in mixture experimental design applied to wood plastic composites by Javier Cruz-Salgado, Sergio Alonso-Romero, Edgar Augusto Ruelas-Santoyo, José Alfredo Jiménez-García, Israel Miguel-Andrés, Roxana Zaricell Bautista-López

“…The absence of high multicollinearity, as indicated by variance inflation factor (VIF) values below 5, further supports the model's stability and interpretability. …”
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Influential mechanism of green consumption on the realization of ecological products value in China by Jingbo Shao, Jingbo Shao, Chengzhi Cai

“…In the data analysis stage, STATA software was used for unit root test, cointegration test, multicollinearity test and descriptive statistics. On this basis, regression analysis was carried out by constructing a two-way fixed effect model, mediating effect and moderating effect model.Results and discussion(1) The level of EPVR is generally not high with a national average of 0.156 in the study area. …”
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Investigating LiDAR Metrics for Old-Growth Beech- and Spruce-Dominated Forest Identification in Central Europe by Devara P. Adiningrat, Andrew Skidmore, Michael Schlund, Tiejun Wang, Haidi Abdullah, Marco Heurich

“…To determine the important LiDAR standard and structural metrics in identifying old-growth forests, multicollinearity analysis using the variance inflation factor (VIF) approach was applied to identify and remove metrics with high collinearity, followed by the random forest algorithm to rank which LiDAR standard and structural metrics are important in old-growth forest classification. …”
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Integrated Machine Learning Approaches for Landslide Susceptibility Mapping Along the Pakistan–China Karakoram Highway by Mohib Ullah, Haijun Qiu, Wenchao Huangfu, Dongdong Yang, Yingdong Wei, Bingzhe Tang

“…Key factors influencing landslide susceptibility showed slight variations across the models, while multicollinearity among variables remained minimal. The proposed modeling approach reduces uncertainties, enhances prediction accuracy, and supports decision-makers in implementing effective landslide mitigation strategies.…”
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Using a robust model to detect the association between anthropometric factors and T2DM: machine learning approaches by Nafiseh Hosseini, Hamid Tanzadehpanah, Amin Mansoori, Mostafa Sabzekar, Gordon A. Ferns, Habibollah Esmaily, Majid Ghayour-Mobarhan

“…Result After feature selection analysis and assessing multicollinearity, six factors (Mid-arm Circumference (MAC), Waist Circumference (WC), Body Roundness Index (BRI), Body Adiposity Index (BAI), Body Mass Index (BMI), age) were used in the final model. …”
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