Relationship of modifiable risk factors with the incidence of thyroid cancer: a worldwide study by Zahra Maleki, Jafar Hassanzadeh, Haleh Ghaem

“…Pearson correlation coefficient was used to evaluate the correlation. Finally, statistical modeling was done using Generalized Additive Model (GAM). …”
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Prediction and influence factors analysis of IP backbone network traffic based on Prophet model and variance reduction by Xuan Wei

“…Despite the rise of popular machine learning models, traditional statistical models maintain significant advantages in interpretability, controllability and simplicity, retaining an essential role in contemporary communication network traffic prediction. …”
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Pro‐L* ‐ A Probabilistic L* Mapping Tool for Ground Observations by Rhys L. Thompson, Steven K. Morley, Clare E. J. Watt, Sarah N. Bentley, Paul D. Williams

“…Usage of the tool is highlighted for both event studies and statistical models, and we demonstrate a number of potential applications.…”
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IMAGE PROCESSING AT ELLIPSOIDAL PHOTOMETRY by M. A. Bezuglyi, N. V. Bezuglaya, A. B. Samilyak

“…During the analysis of biological media, there is a possible of prognosis the spatial distribution of the brightness of the image by means of statistical modeling of optical radiation in the system «biological medium + ellipsoidal reflector». …”
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ADAM-multi: software to simulate complex breeding programs for animals and plants with different ploidy levels and generalized genotypic effect models to account for multiple allel... by Thinh Tuan Chu, Thinh Tuan Chu, Just Jensen

“…Stochastic simulation software, ADAM, has been developed for the purpose of breeding optimization in animals and plants, and for validation of statistical models used in genetic evaluations. Just like other common simulation programs, ADAM assumed the bi-allelic state of quantitative trait locus (QTL). …”
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Evaluation of Shannon Entropy and Weights of Evidence Models in Landslide Susceptibility Mapping for the Pithoragarh District of Uttarakhand State, India by Nguyen Duc Dam, Mahdis Amiri, Nadhir Al-Ansari, Indra Prakash, Hiep Van Le, Hanh Bich Thi Nguyen, Binh Thai Pham

“…In this study, the main aim is to evaluate the performance of Shannon entropy (SE) and weights of evidence (WOE) statistical models in landslide susceptibility mapping of Pithoragarh district of Uttarakhand state, India. …”
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Design of Structural Concrete with Bone China Fine Aggregate Using Statistical Approach by Chandra Prakash Gour, Priyanka Dhurvey, Nagaraju Shaik

“…As a result, the statistical models were presented based on the laboratory-tested compressive strength data for concrete including varying amounts of bone China waste as fine aggregate, which show resilience and normality when assessed using fundamental statistical techniques. …”
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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

“…This method not only effectively enhances the measurement accuracy of chemical sensors, but also combines the interpretability of traditional statistical models with the high-precision characteristics of Gaussian Process Regression (GPR) models. …”
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Impact of stock market indices and raw material prices on the yield movements of Caterpillar company securities by Petrović Nevena, Novićević-Čečević Bojana, Krstajić Goran

“…Historical data on stock returns and other relevant factors can be utilized to build statistical models for forecasting future market movements. …”
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Multiscale Feature-Enhanced Water Body Detector of Truncated Gaussian Clutter in SAR Imagery by Bo Zhu, Yuli Xia, Yongsheng Zhou, Xiaoning Lv, Minqin Liu

“…High-intensity outliers cause overestimation of parameters used for water data statistical modeling, resulting in inaccurate thresholds. …”
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Mid-infrared spectra of dried and roasted cocoa (Theobroma cacao L.): A dataset for machine learning-based classification of cocoa varieties and prediction of theobromine and caffe... by Gentil A. Collazos-Escobar, Andrés F. Bahamón-Monje, Nelson Gutiérrez-Guzmán

“…The dataset is organized into Excel sheets and structured according to experimental conditions and replicates, providing a valuable framework for further analysis, model development, and calibration of multivariate statistical models.…”
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Remote sensing-based winter wheat yield estimation integrating machine learning and crop growth multi-scenario simulations by Xin Du, Jiong Zhu, Jingyuan Xu, Qiangzi Li, Zui Tao, Yuan Zhang, Hongyan Wang, Haoxuan Hu

“…Validation with field-measured and county-level statistics demonstrated a robust and spatially extensive capability for accurate yield estimation, with R2, RMSE, and MRE values of 0.57, 424.80 kg/ha, and 6.57% at the plot level, and 0.58, 345.53 kg/ha, and 4.93% at the county level, notably improving on traditional field-based methods (R2 = 0.03–0.46) that primarily rely on limited field surveys and statistical models. Model simplification showed that accuracy decreased when fewer remote sensing images were used, yet achieved reasonable estimates (two temporal phases: R2 of 0.41/0.40 at plot/county level). …”
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Comparative analysis of seasonal wind power using Weibull, Rayleigh and Champernowne distributions by Bienvenu Sumaili Ndeba, Omaima El Alani, Abdellatif Ghennioui, Mostafa Benzaazoua

“…Abstract Accurate statistical modeling of wind speed variability is crucial for assessing wind energy potential, particularly in regions with low wind speeds and significant calm hours. …”
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More than just staffing? Assessing evidence on the complex interplay among nurse staffing, other features of organisational context and resident outcomes in long-term care: a syste... by Matthias Hoben, Megan Kennedy, Katharina Choroschun

“…Our systematic review will identify and synthesise the available evidence on how nurse staffing and organisational context in residential LTC interact and how this impacts resident outcomes.Methods and analysis We will systematically search the databases MEDLINE, EMBASE, CINAHL, Scopus and PsycINFO from inception for quantitative research studies and systematically conducted reviews that statistically modelled interactions among nurse staffing and organisational context variables. …”
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C-Reactive Protein Level as a Novel Serum Biomarker in Sarcopenia by Shangjin Lin, Xiuxiu Chen, Ying Cheng, Hou Huang, Fengjian Yang, Zhijun Bao, Yongqian Fan

“…MR analysis provided further evidence of a significant detrimental link between genetically predicted CRP levels and essential sarcopenia characteristics, with consistent results across various statistical models. Conclusions. Our study uncovered strong evidence supporting a noteworthy inverse association and causality between CRP concentrations and sarcopenia, indicating that CRP has the potential to serve as a biomarker for sarcopenia.…”
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Long Short‐Term Memory Neural Network for Ionospheric Total Electron Content Forecasting Over China by Pan Xiong, Dulin Zhai, Cheng Long, Huiyu Zhou, Xuemin Zhang, Xuhui Shen

“…The results indicated that the ED‐LSTME model is superior to the other statistical models, with R2 and root mean square error values of 0.89 and 12.09 TECU, respectively. …”
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Spatio-Temporal Feature Aware Vision Transformers for Real-Time Unmanned Aerial Vehicle Tracking by Hao Zhang, Hengzhou Ye, Xiaoyu Guo, Xu Zhang, Yao Rong, Shuiwang Li

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Towards global elimination of lymphatic filariasis: a systematic review of the application of spatial epidemiological methods to enhance surveillance and support elimination progra... by Angela Cadavid Restrepo, Colleen L Lau, Beatris Mario Martin, Helen J Mayfield

“…Thirty-one (50.8%) studies used spatial statistical modelling, with model-based geostatistics being the most common method. …”
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Development and validation of a clinical prediction model of acute kidney injury in intensive care unit patients at a rural tertiary teaching hospital in South Africa: a study prot... by Olanrewaju Oladimeji, Constance Sewani-Rusike, Busisiwe Mrara, Fathima Paruk

“…Risk factors for AKI will be identified and their impact quantified using statistical modelling. Internal validation of the developed model will be done on separate patients admitted at a different time. …”
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Dynamic transmission modeling of COVID-19 to support decision-making in Brazil: A scoping review in the pre-vaccine era. by Gabriel Berg de Almeida, Lorena Mendes Simon, Ângela Maria Bagattini, Michelle Quarti Machado da Rosa, Marcelo Eduardo Borges, José Alexandre Felizola Diniz Filho, Ricardo de Souza Kuchenbecker, Roberto André Kraenkel, Cláudia Pio Ferreira, Suzi Alves Camey, Carlos Magno Castelo Branco Fortaleza, Cristiana Maria Toscano

“…Brazil was one of the countries most affected during the first year of the COVID-19 pandemic, in a pre-vaccine era, and mathematical and statistical models were used in decision-making and public policies to mitigate and suppress SARS-CoV-2 dispersion. …”
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