A novel model-based meta-analysis to indirectly estimate the comparative efficacy of two medications: an example using DPP-4 inhibitors, sitagliptin and linagliptin, in treatment o... by Yan Gong, James Rogers, Christian Friedrich, Sanjay Patel, Alexander Staab, Jorge Luiz Gross, Daniel Polhamus, William Gillespie, Brigitta Ursula Monz, Silke Retlich

“…Objectives To develop a longitudinal statistical model to indirectly estimate the comparative efficacies of two drugs, using model-based meta-analysis (MBMA). …”
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Accounting for observation biases associated with counts of young when estimating fecundity: case study on the arboreal-nesting red kite (Milvus milvus) by Sollmann, Rahel, Adenot, Nathalie, Spakovszky, Peter, Windt, Jendrik, Mattsson, Brady J.

“…These counts can, however, suffer from over and undercounting, which can lead to biased estimates of fecundity (average number of nestlings per brood). Statistical model development to account for observation bias has focused on false negatives (undercounts), yet it has been shown that these models are sensitive to the presence of false positives (overcounts) when they are not accounted for. …”
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Determinants of fertility in timed artificial insemination programs in beef cattle: predictive ability and risk factors from almost 2 million data points by R.E.F. Assis, F. Baldi, L.B. Temp, R. Ungerfeld, M.F. de Sá Filho

“…A total of 1 832 999 TAIs conducted on 2 002 farms across South American countries were considered for the analysis, including 15 main fixed effects or interactions in the statistical model, in addition to five random effects. …”
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Effect of supplementing epinephrine in maturation media on the developmental competence of buffalo oocytes by Ali Husnain, Abdul Khaliq, Talha Ashraf, Abdul Rehman, Muhammad Yasir Zahoor, Muhammad Binyameen, Amjad Riaz

“…The data was analyzed using the GLIMMIX procedures of SAS. The statistical model included the fixed effect of treatment and random replication. …”
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Supplementation of isoacids to lactating dairy cows fed low- or high-forage diets: Effects on performance, digestibility, and milk fatty acid profile by M.R.A. Redoy, S. Ahmed, J. Bonilla Urbina, D.H. Kleinschmit, M.T. Socha, P. Salunke, M.E. Uddin

“…Individual cow milk samples composited over a 10-wk period were analyzed using GC for FA profile. The statistical model included FL, ISO, and FL × ISO as fixed effects and block as a random effect (lme4 in R). …”
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Selective dry cow therapy: Clinical field trial on prevention and cure of intramammary infections by R.E. Niemi, M. Hovinen, P.J. Rajala-Schultz

“…The outcome of the statistical model was the odds of a quarter having an IMI at freshening 0 to 4 d after calving. …”
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Lipids as key biomarkers in unravelling the pathophysiology of obesity-related metabolic dysregulation by Anis Adibah Osman, Siok-Fong Chin, Lay-Kek Teh, Noraidatulakma Abdullah, Nor Azian Abdul Murad, Rahman Jamal

“…The predictive model underwent evaluation across four machine learning algorithms consistently demonstrated the highest predictive accuracy of 0.821, aligning with the findings from the classical logistic regression statistical model. Notably, the presence of 4′-apo-beta,psi-caroten-4′-al showed a statistically significant difference between the lean and obese individuals among the metabolites included in the model. …”
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Development of a clinical decision support tool for Primary care Management of lower Urinary tract Symptoms in men: the PriMUS study by Adrian Edwards, Ridhi Agarwal, Janine Bates, Alison Bray, Sarah Milosevic, Emma Thomas-Jones, Michael Drinnan, Marcus Drake, Peter Michell, Bethan Pell, Haroon Ahmed, Natalie Joseph-Williams, Kerenza Hood, Yemisi Takwoingi, Chris Harding

“…The secondary objectives were to: Develop a series of patient management recommendations and thresholds for clinically useful diagnostic prediction by expert consensus and with reference to current clinical guidelines that map to the diagnoses predicted by the statistical model. Combine the statistical model and management recommendations into an online tool that will form the prototype clinical decision support tool. …”
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Federated Learning Based on Kernel Local Differential Privacy and Low Gradient Sampling by Yi Chen, Dan Chen, Niansheng Tang

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New generation modem for future data transmission systems. Part 1 by Yu. M. Veshkurtsev

“…Theoretically there are investigated and statistical modeling confirmed noise immunity of the modem when working in the channel without interference.…”
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Performance Prediction of a Synchronization Link for Distributed Aerospace Wireless Systems by Wen-Qin Wang, Huaizong Shao

“…With the mathematical statistical models of phase noise, closed-form analytic expressions for the synchronization link performance are derived. …”
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Correlation between public housing location and city local characteristics: a comparison of gamma and inverse Gaussian models by Gunwon Lee, Seok Lee, In Su Na

“…Finally, the gamma model was the most appropriate of the two statistical models. The findings are expected to help further clarify the future role and contribution of public housing. …”
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Predicting Time in Range Without Hypoglycaemia Using a Risk Calculator for Intermittently Scanned CGM in Type 1 Diabetes by Fernando Sebastian‐Valles, Jose Alfonso Arranz Martin, Julia Martínez‐Alfonso, Jessica Jiménez‐Díaz, Iñigo Hernando Alday, Victor Navas‐Moreno, Teresa Armenta Joya, Maria del Mar delFandiño García, Gisela Liz Román Gómez, Jon Garai Hierro, Luis Eduardo Lander Lobariñas, Carmen González‐Ávila, Purificación deMartinez de Icaya, Vicente Martínez‐Vizcaíno, Miguel Antonio Sampedro‐Nuñez, Mónica Marazuela

“…ABSTRACT Purpose To investigate the impact of clinical and socio‐economic factors on glycaemic control and construct statistical models to predict optimal glycaemic control (OGC) after implementing intermittently scanned continuous glucose monitoring (isCGM) systems. …”
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Generalized product-sum variogram models of the data of the Center of Marine Research by Ingrida Krūminienė, Kęstutis Dučinskas

“…Therefore, it is essential to have statistical models to describe how the data vary across space and time. …”
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A Prediction Model Optimization Critiques through Centroid Clustering by Reducing the Sample Size, Integrating Statistical and Machine Learning Techniques for Wheat Productivity by Muhammad Islam, Farrukh Shehzad

“…This study demonstrated strong evidences for deploying MLM for prediction of wheat productivity as an alternative of traditional statistical modeling.…”
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Predicting Sentiments in Spotify Comments: A Comparative Analysis of Machine Learning Models by Filipe Augusto Felix de Queiroz, Igor Barbosa Negreiros, Giovana de Souza, Débora Cordeiro de Sousa, Sílvio Fernando Alves Xavier Júnior

“…We compare different statistical modeling and Machine Learning techniques, identifying the ones with the greatest accuracy in predicting sentiments. …”
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Comparing Estimation Methods for the FPLD by Agostino Tarsitano

“…We use the quantile function to define statistical models. In particular, we present a five-parameter version of the generalized lambda distribution (FPLD). …”
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Statistical analysis of the development of serfdom farms in the Vilnius and Dysna districts in the middle of the 19th century by Stasys Pamerneckis

“… This article is written with the application of correlation-regression and factorial statistical models for researching corvee-peasant farms. …”
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Optimizing Carbonation Hardening for Lightweight Concrete by Olexander Gara, Anatoliy Gara, Andrii Kolesnykov, Khrystyna Moskalova

“…It evaluates the effects of binder content, ground limestone, lightweight aggregates, plasticizers, carbonation pressure, and duration on compressive strength at 1 hour, 28 days, and 180 days. Statistical models and optimization using desirability functions were employed to identify optimal recipe and technological parameters. …”
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Modeling the gameplay actions of elite volleyball players and teams based on statistical match reports by Sergii Iermakov, Tetiana Yermakova, Krzysztof Prusik

“…In modern sports analysis statistical modeling of gameplay actions based on match data is becoming a key tool for optimizing training processes and tactical preparation. …”
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