Search Results - statistical modelling–validation
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Inverse analysis method for mathematical modeling of hydrodynamic ballast in a drilling rig
Published 2021-04-01“…Taking into account the standard error array and the minimum standard error, the statistical errors made during experimental measurements are considered. …”
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Development of a decision support system for assessing the technical condition of power transformers
Published 2025-06-01“…To improve the reliability of power transformers while minimizing maintenance costs through the application of artificial intelligence methods. Methods. Statistical analysis of chromatographic data of transformer oil; data preprocessing (elimination of anomalous and duplicate records, z‑transformation); classical machine learning methods (linear regression, Random Forest, Extra Trees, Hist Gradient Boosting), model validation using an 8:2 data split; development of a model structure based on AutoML with the specialized FEDOT software platform; calculation and analysis of model performance metrics (R², MAE, MSE, RMSE); ensemble methods Averaging, Weighted Averaging, Stacking, Blending and XGBoost. …”
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Risk prediction models for delayed gastric emptying in patients after pancreaticoduodenectomy: a systematic review and meta-analysis
Published 2025-07-01“…Heterogeneity among studies was evaluated using the I² statistic and Cochran’s Q test, and publication bias was assessed through Egger’s regression test and funnel plot symmetry. …”
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Evaluating the Uncertainty and Predictive Performance of Probabilistic Models Devised for Grade Estimation in a Porphyry Copper Deposit
Published 2025-06-01“…In mining geology, model validation efforts have generally lagged behind the development and deployment of computational models. …”
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Fostering Teachers’ Competencies for Integrated Language Arts, Science, and Technology Instruction: An Exploratory Study
Published 2025-07-01“…Although teachers showed an overall increase in self-efficacy, the pre-post-test difference was not statistically significant. There were statistically significant increases in student engagement and instructional strategies subscales. …”
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Effects of Organizational Silence on Organizational Citizenship Behaviors: The Mediating Role of Positive Leadership Behaviors
Published 2025-03-01“…Specifically, the findings demonstrated a negative and statistically significant relationship between organizational silence and organizational citizenship behaviors (r = -0.43, p < 0.01), a negative and statistically significant relationship between organizational silence and positive leadership behaviors (r = -0.51, p < 0.01), and a positive and statistically significant relationship between positive leadership behaviors and organizational citizenship behaviors (r = 0.48, p < 0.01). …”
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Prediction of Settlement Due to Shield TBM Tunneling Based on Three-Dimensional Numerical Analysis
Published 2025-06-01“…The proposed model was statistically validated using <i>p</i>-value assessment, variance inflation factor (VIF), coefficient of determination (R<sup>2</sup>), and residual analysis. …”
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Impact of safety accidental factors on safety performance for high-rise building projects: EFA-SEM approach
Published 2025-01-01“…The results indicated that the factor F8 (mishandling construction material) was eliminated from the final structural equation model because it did not have an adequate statistically significant value. The final structural equation model passed the goodness-of-fit tests and hypothesis testing, indicating the model's validity. …”
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Chronic Changes on Kidney Histology by a Multiclass Artificial Intelligence Model
Published 2025-08-01“…Results: During the AI model validation step, the agreement between the AI detections and human annotations was similar to the agreement between human pairs, except that the AI model showed less agreement with AH. …”
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Effect of the Shadow Economy on Tax Revenue in Sub-Saharan African Countries: A Dynamic Panel Data Analysis
Published 2025-06-01“…The analysis covers 15 SSA countries over the period of 15 years, using the Arellano-Bover/Blundell-Bond GMM estimation method. Model validity was confirmed through Arellano-Bond autocorrelation tests and a significant Wald chi-squared statistic, ensuring robust results. …”
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Modelling Surface Roughness of 3/1 Twill Fabric Using Weft Yarn Count and Weft Thread Density
Published 2024-06-01“…Based on the results and findings, the effects of count and density on the roughness of 3/1 twill fabric were found to be statistically significant for the developed model at a confidence interval of 95%. …”
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Predictive Analysis of Stress and Burnout Among Medical Students: Exploring Personal and Environmental Contributors
Published 2025-07-01“…A CHAID decision tree model was applied to classify high-risk groups, with model validity evaluated through classification accuracy and risk estimates. …”
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Consciousness Disorders after Elective Surgery in Patients with Cerebrovascular Insufficiency
Published 2015-02-01“…The rate of early and persistent cognitive dysfunction differed statistically significantly in patients with prior delirium; the logistic regression model validly predicted a relationship between this event and the neuropsychological indicators on 7 days postsurgery. …”
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Determinants of chronic disease patients' intention to use Internet diagnosis and treatment services: based on the UTAUT2 model
Published 2025-08-01“…Subsequent data analysis was conducted using SPSS 26.0 and AMOS 28.0 software, encompassing descriptive statistics and structural equation modeling. Furthermore, the Bootstrap method was employed to rigorously assess the mediating effects within the model.ResultsThe empirical findings reveal that: (1) Model validation indicates that performance expectancy (β = 0.151, p = 0.002), effort expectancy (β = 0.105, p = 0.022), social influence (β = 0.206, p < 0.001), price value (β = 0.138, p = 0.002), trust (β = 0.124, p = 0.003), and electronic health literacy (β = 0.184, p < 0.001) exert significant positive effects on the behavioral intention to use Internet diagnosis and treatment services. …”
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Suicide Risk Screening in Jails: Protocol for a Pilot Study Leveraging the Mental Health Research Network Algorithm and Health Care Data
Published 2025-06-01“…ResultsFirst, the algorithm will be validated on the data gathered for the jail sample using the C-statistic and area under the receiver operating characteristic curve. …”
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