Association of the body roundness index with chronic diarrhea and chronic constipation: findings based on the National Health and Nutrition Examination Survey 2005–2010 data by Yinda Wang, Fei Chen, Binzhong Zhang, Zhengwei Song

“…Results After comprehensive adjustment in the final statistical model (Model 3), the BRI demonstrated the statistically significant associations with diarrhea and persistent constipation. …”
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Challenges and opportunities for assessing trends of amphibians with heterogeneous data – a call for better metadata reporting by Klaus Henle, Reinhard A. Klenke, M. Benjamin Barth, Annegret Grimm-Seyfarth, Diana E. Bowler

“…We assessed the effects of data processing decisions to infer absences, the use of survey method information and the statistical model (generalised linear mixed-effect occurrence model [GLMM] versus occupancy-detection model) and compared the trends with expert opinions (Red Lists). …”
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Investigating the Effectiveness of Coal-Fired Power Plant Operations: Management, Technical and Air Pollution Aspects by Zamzam T. A. Ramly, Mohd Y. Ishak, Ahmad M. Abdullah, Marzuki Ismail, Samsuri Abdullah, Amalina Abu Mansor

“…This study seeks to find factors affecting coal-fired power generation efficiency and create a statistical model. The questionnaire covered five areas: best management practices, technology efficiency, cost efficiency, fuel efficiency, air pollution control, and the best available technique. …”
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Contribution of Open Access Databases to Intensive Care Medicine Research: Scoping Review by Julien Kallout, Antoine Lamer, Julien Grosjean, Gaétan Kerdelhué, Guillaume Bouzillé, Thomas Clavier, Benjamin Popoff

“…Logistic regression emerged as the most commonly used statistical model for both inference and prediction questions, featuring in 396 (55.5%) and 281 (47.5%) studies, respectively. …”
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Development of a machine learning model related to explore the association between heavy metal exposure and alveolar bone loss among US adults utilizing SHAP: a study based on NHAN... by Jiayi Chen

“…Overfitting using kernel function, long calculation period, the definition of prior distribution and lack of rank of heavy metal will affect the performance of the statistical model. Optimal model on this topic still remains controversy. …”
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A mechanistic-statistical approach to infer dispersal and demography from invasion dynamics, applied to a plant pathogen by Saubin, Méline, Coville, Jérome, Xhaard, Constance, Frey, Pascal, Soubeyrand, Samuel, Halkett, Fabien, Fabre, Frédéric

“…Gaussian, Exponential, and Exponential-power) differing in their frequency of LDD events. The statistical model relies on dedicated observation laws that describe two types of samples, clumped or not. …”
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Effect of supplementing phytase on piglet performance, nutrient digestibility and bone mineralisation by C. De Cuyper, L. Nollet, M. Aluwé, J. De Boever, L. Douidah, E. Vanderbeke, N. Outchkourov, S. Petkov, S. Millet

“…Incremental increases of phytase improved final body weight (BW) (P<0.001), average daily gain (ADG) (P<0.001) and feed conversion ratio (FCR) (P<0.01). The statistical model predicted a linear increase for daily feed intake (DFI), ADG and BW with increased phytase increments. …”
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Improving tropical cyclone rapid intensification forecasts with satellite measurements of sea surface salinity and calibrated machine learning by Ryan Eusebi, Hui Su, Longtao Wu, Pingping Rong, Karthik Balaguru, Ruby Leung, Yong-Sang Choi, Pak Wai Chan, Jianping Gan, Mark DeMaria, Galina Chirokova

“…To investigate the impact and efficacy of using salinity information in state-of-the-art forecasting, we use a statistical model consisting of a variety of machine learning (ML) methods. …”
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Nutritional intake of micronutrient and macronutrient and type 2 diabetes: machine learning schemes by Mohammad Rashidmayvan, Amin Mansoori, Elahe Derakhshan-Nezhad, Davoud Tanbakuchi, Fatemeh Sangin, Maryam Mohammadi-Bajgiran, Malihehsadat Abedsaeidi, Sara Ghazizadeh, MohammadReza Mohammad Taghizadeh Sarabi, Ali Rezaee, Gordon Ferns, Habibollah Esmaily, Majid Ghayour-Mobarhan

“…For ten years (until 2020), the participants in the study were monitored to determine the incidence of T2D. LR is a statistical model applied in dichotomous response variable modeling. …”
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 Increasing the resolution of malaria early warning systems for use by local health actors by Michelle V. Evans, Felana A. Ihantamalala, Mauricianot Randriamihaja, Vincent Herbreteau, Christophe Révillion, Thibault Catry, Eric Delaitre, Matthew H. Bonds, Benjamin Roche, Ezra Mitsinjoniala, Fiainamirindra A. Ralaivavikoa, Bénédicte Razafinjato, Oméga Raobela, Andres Garchitorena

“…Abstract Background The increasing availability of electronic health system data and remotely-sensed environmental variables has led to the emergence of statistical models capable of producing malaria forecasts. …”
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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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A satellite-based analysis of semi-direct effects of biomass burning aerosols on fog and low-cloud dissipation in the Namib Desert by A. Mass, A. Mass, H. Andersen, H. Andersen, J. Cermak, J. Cermak, P. Formenti, E. Pauli, E. Pauli, J. Quinting

“…A statistical learning framework is used to quantify meteorological and BBA influences on FLC dissipation time. The statistical model is able to reproduce the observed differences in FLC dissipation time between high- and low-BBA days and attributes these differences mainly to differences in circulation, boundary layer moisture and near-surface air temperature along the coastline. …”
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Employment status and information needs of patients with breast cancer: a multicentre cross-sectional study of first oncology consultations by Lidia Del Piccolo, Maria Angela Mazzi, Cinzia Perlini, Giuseppe Deledda, Alberto Ghilardi, Chiara Buizza, Alessandro Bottacini, Claudia Goss

“…When age and education were included in the statistical model, the significance of employment status was rearranged among all the variables and was no more significant (b=1.2, p=0.44). …”
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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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Investigating the Effect of Different Levels of Butyric Acid Glycerides and Clove Oil on Growth Performance, Blood Parameters and Tibia Bone Characteristics of Broiler Chickens by Seyyedeh azam khatami, Mir Daryoush Shakouri, Nemat Hedayat Evrigh

“…The equation of the statistical model of the experiment was according to the relation Yijk = µ + Ai + Bj + (AB)ij + eijk, where Yijk represents the numerical value of each observation, µ is the population mean, Ai is the effect of butyric acid glycerides (0 and 0.2%), Bj was the effect of clove oil (0, 500 and 1000 mg/kg), ij (AB) was the interaction effect of butyric acid glycerides and clove oil, and eijk was the experimental error.Results and Discussion: The results showed that the addition of 0.2% butyric acid glycerides in the diet of broiler chickens reduced feed intake, body weight and daily weight gain compared to the control group (P<0.05). …”
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