Personalised Affective Classification Through Enhanced EEG Signal Analysis by Joseph Barrowclough, Nonso Nnamoko, Ioannis Korkontzelos

“…Evaluation was based on accuracy and significance test using McNemar statistics. Model runtime was also used as an efficiency metric.Results The personalised approach consistently outperformed the generalised method across both datasets. …”
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Comparison of accuracy in freehand versus computer-assisted (dynamic and static) dental implant placement: A systematic review and meta-analysis by Saurav Banerjee, Anasua Debnath, Priyanjali Paul, Tridib Nath Banerjee

“…Heterogeneity was analyzed using appropriate statistical models to ensure robust findings and reliability of the results. …”
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Effects of Metabolism-Related Indicators on Nonalcoholic Fatty Liver Disease in Nonobese Population Based on the National Health and Nutrition Examination Survey by XingWang Zhu, HaiPing Wang, HongLong Zhang, Guole Nie, Jun Yan, Xun Li

“…The aim of this study was to investigate the combined effects of metabolism-related mixtures on NAFLD subjects in nonobese populations using four statistical models. Study Design. This was a retrospective observational study. …”
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Hourly Ozone and PM2.5 Prediction Using Meteorological Data – Alternatives for Cities with Limited Pollutant Information by Felipe Cifuentes, Angel Gálvez, Carlos M. González, Mauricio Orozco-Alzate, Beatriz H. Aristizábal

“…Abstract Using statistical models, the average hourly ozone (O3) concentration was predicted from seven meteorological variables (Pearson correlation coefficient, R = 0.87–0.90), with solar radiation and temperature being the most important predictors. …”
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Research progress of MRI-based radiomics in hepatocellular carcinoma by Xiao-Yun Xie, Rong Chen

“…Radiomics, an emerging field, harnesses high-throughput imaging data, encompassing shape, texture, and intensity features, alongside clinical parameters, to elucidate disease characteristics through advanced computational techniques such as machine learning and statistical modeling. MRI radiomics specifically holds significant importance in the diagnosis and treatment of hepatocellular carcinoma (HCC).ObjectiveThis study aims to evaluate the methodology of radiomics and delineate the clinical advancements facilitated by MRI-based radiomics in the realm of hepatocellular carcinoma diagnosis and treatment.MethodsA systematic review of the literature was conducted, encompassing peer-reviewed articles published between July 2018 and Jan 2025, sourced from PubMed and Google Scholar. …”
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Capturing crisis dynamics: a novel personalized approach using multilevel hidden Markov modeling by Emmeke Aarts, Barbara Montagne, Thomas J. van der Meer, Muriel A. Hagenaars, Muriel A. Hagenaars

“…The observed differences between patients underlines the need for future innovation in personalized crisis prevention, and statistical models that facilitate such a personalized approach.…”
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Genetic Factors and the Risk of Periodontitis Development: Findings from a Systematic Review Composed of 13 Studies of Meta-Analysis with 71,531 Participants by Maélson Klever da Silva, Antonio Carlos Gonçalves de Carvalho, Even Herlany Pereira Alves, Felipe Rodolfo Pereira da Silva, Larissa dos Santos Pessoa, Daniel Fernando Pereira Vasconcelos

“…Three examiners extracted data from articles with a clear association between polymorphisms in the inflammatory mediator gene and the development of periodontitis through meta-analysis using the fixed or randomized statistical models to calculate the Odds Ratio with values of P<0.05 considered significant. …”
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Trial Characteristics and Appropriateness of Statistical Methods Applied for Design and Analysis of Randomized School-Based Studies Addressing Weight-Related Issues: A Literature R... by Moonseong Heo, Singh R. Nair, Judith Wylie-Rosett, Myles S. Faith, Angelo Pietrobelli, Nancy R. Glassman, Sarah N. Martin, Stephanie Dickinson, David B. Allison

“…We searched PubMed and extracted variables concerning study characteristics, power analysis, ICC use for power analysis, applied statistical models, and the report of the ICC estimated from the observed data. …”
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Hybrid Models of Atmospheric Block Columns of Primary Oil Refining Unit Under Conditions of Initial Information Deficiency by Batyr Orazbayev, Zhadra Kuzhuhanova, Kulman Orazbayeva, Gulzhan Uskenbayeva, Zhanat Abdugulova, Ainur Zhumadillayeva

“…Based on the proposed hybrid method and available statistical and fuzzy information, effective hybrid models of atmospheric block columns of the primary oil refining unit were developed. In this case, statistical models were developed based on experimental and statistical data. …”
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Julius Kruopis – the pioneer of applied statistics in Lithuania by Vilijandas Bagdonavičius, Vydas Čekanavičius, Rūta Levulienė, Pranas Vaitkus

“…Kruopis became evident through  mathematical and statistical modeling of real processes. PhD thesis ``Estimation of Markov processes parameters'' by J. …”
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Measure-and-remeasure as an economically feasible approach to crediting soil organic carbon at scale by Eric Potash, Mark A Bradford, Emily E Oldfield, Kaiyu Guan

“…We analyze multi-field measure-and-remeasure SOC projects with two key features: first, practice assignment is randomized to compare the effect of a treatment (e.g. no tillage) to a control (e.g. conventional tillage); second, a random subset of fields is sampled (two stage cluster sampling) to cost-effectively measure SOC changes. We use statistical modeling to characterize the estimated treatment effect, accounting for within-field and between-field variability in SOC change, as well as measurement error. …”
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Optimising Palm Olein-Based Betamethasone 17-Valerate Emulsions for Scalable Manufacturing and Stability by Thazin Win, Mohd. Rushdi Abu Bakar, Farahidah Mohamed, Muhammad Taher, Md. Zaidul I. Sarker

“…Design of experiments (DoE) where response surface methodology as well as three-level, two-factors (32) full factorial design were used to develop statistical models for representing the possible relationships between factors: homogenisation time and speed, and responses: particle size and phase separation. …”
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Towards compressive and tensile strengths of hybrid steel and PVA fibre-reinforced cementitious composites: Experimental and analytical by Gang Chen, Mingyan Lv, Haitang Zhu, Jianwen Zhang, Le Zhang

“…In addition, currently available analytical/statistical models for predicting the strength of HFRCCs are far from satisfactory and, therefore, need to be improved. …”
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QTL mapping and candidate gene analysis of element accumulation in rice grains via genome-wide association study and population genetic analysis by Min Li, Mengxue Gao, Jinmei Huang, Shaojuan Jin, Yamei Lv, Lin Wang, Tao Huang, Fengcai Wu, Zhijian Xu, Yinghua Pan, Zhixia Liu, Chaopu Zhang, Yuntao Liang, Lijun Meng, Jianlong Xu

“…Results We conducted genetic dissection of four toxic heavy metal elements (lead, cadmium, mercury, and chromium), one quasi metallic element (arsenic), and one essential element (selenium) in grains of 290 Xian and 308 Geng rice accessions through a genome-wide association study (GWAS) based on three statistical models and assays of element concentrations from three environments. …”
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TARGET Protein: the effect of augmented administration of enteral protein to critically ill adults on clinical outcomes—statistical analysis plan for a cluster randomized, cross-se... by Sophie Zaloumis, Matthew J. Summers, Jeffrey J. Presneill, Rinaldo Bellomo, Lee-anne S. Chapple, Marianne J. Chapman, Adam M. Deane, Suzie Ferrie, Craig French, Sally Hurford, Nima Kakho, Matthew J. Maiden, Stephanie N. O’Connor, Sandra L. Peake, Emma J. Ridley, An Tran-Duy, Patricia J. Williams, Paul J. Young, Amalia Karahalios, on behalf of the TARGET Protein Investigators, the Australian, New Zealand Intensive Care Society Clinical Trials Group

“…The statistical methods and models which will be used to estimate the effects for the primary and secondary outcomes are described. All statistical models will account for the cluster-randomized cross-over design to ensure correct estimation of the 95% confidence intervals. …”
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Characterization of Complex Image Spatial Structures Based on Symmetrical Weibull Distribution Model for Texture Pattern Classification by Jinping Liu, Jiezhou He, Zhaohui Tang, Pengfei Xu, Wuxia Zhang, Weihua Gui

“…This work presents an image statistical modeling-based TP identification (ISM-TPI) method. …”
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Comprehensive Metabolomic Profiling in Adults with X-Linked Hypophosphatemia: A Case-Control Study by Luis Carlos López-Romero, José Jesús Broseta, Marta Roca-Marugán, Noemí Máñez Ramírez, Julio Hernández-Jaras

“…We employed multivariate statistical models, including a principal component analysis (PCA) and an orthogonal partial least squares discriminant analysis (OPLS-DA) regression model. …”
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Social Media Marketing for Small and Medium Enterprise Performance in Uganda: A Structural Equation Model by .Kikawa, Cliff R, Kiconco, Charity, Moses, Agaba, Ntirampeba, Dimas, Ssematimba, Amos, Kalema, Billy M.

“…This study’s objective is to identify the factors that significantly help Ugandan SMEs implement SMM techniques to enhance their commercial performance. Here, statistical models are utilized to analyze how the age and gender of SMEs owners as moderating variables affect the adoption and performance of SMEs in Uganda. …”
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PM2.5 in Sri Lanka: Trend Analysis, Low-cost Sensor Correlations and Spatial Distribution by Ranil Dhammapala, Ashani Basnayake, Sarath Premasiri, Lakmal Chathuranga, Karen Mera

“…The influence of meteorological variables and the performance of different statistical models were considered and the regression coefficients of the most applicable models are presented. …”
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Using informative priors to account for identifiability issues in occupancy models with identification errors by Monchy, Célian, Etienne, Marie-Pierre, Gimenez, Olivier

“…These methods have prompted the development of statistical models to suit specific sampling designs and get reliable ecological inferences. …”
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