Machine Learning Does Not Improve Humeral Torsion Prediction Compared to Regression in Baseball Pitchers by Garrett S Bullock, Charles A Thigpen, Gary S Collins, Nigel K Arden, Thomas K Noonan, Michael J Kissenberth, Ellen Shanley

“…Based on these results it is recommended to use a simple equation from a statistical model which can be quickly and efficiently integrated within a clinical setting…”
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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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Global seasonal urban, industrial, and background NO₂ estimated from TROPOMI satellite observations by V. Fioletov, C. A. McLinden, D. Griffin, X. Zhao, H. Eskes

“…The method is based on fitting satellite data by a statistical model with empirical plume dispersion functions driven by a meteorological reanalysis. …”
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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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Agent based modelling of blood borne viruses: a scoping review by Seun Ale, Elizabeth Hunter, John D. Kelleher

“…Abstract Background The models that historically have been used to model infectious disease outbreaks are equation-based and statistical models. However, these models do not capture the impact of individual and social factors that affect the spread of common blood-borne viruses (BBVs) such as human immunodeficiency virus (HIV), hepatitis C virus (HCV), and hepatitis B virus (HBV). …”
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Causal association among smoking, bitter beverage consumption, and risk of osteoporosis: a two-sample mendelian randomization-based study by Yanqian Wu, Jianqian Chao, Min Bao, Na Zhang, Leixia Wang

“…The inverse-variance weighted (IVW) method was used as the main statistical model. The stability and reliability of the results were verified by the Cochran’s Q test, the Egger-intercept test, and the leave-one-out analysis. …”
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Patient-Centric Structural Determinants of Adherence Rates Among Asthma Populations: Exploring the Potential of Patient Activation and Encouragement Tool TRUSTR to Improve Adherenc... by Asim Zia, Arthur Brassart, Sheila Thomas, Fen Ye, Judith J. Stephenson, C. Daniel Mullins, Christopher A. Jones

“…**Conclusions:** HIRD data reveal mean adherence rate of 59% (SD 29%), providing the evidence for the opportunity to increase adherence rate by around 40%. Statistical modeling results reveal structural determinants, such as the opportunity to nudge, are higher among younger patients, as they have higher probability of being non-adherent. …”
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Assessment of heavy metal pollution and spatial distribution in waterfalls of Chattogram district, Bangladesh: Implications for drinking and irrigation purposes by Abdur Rouf Azad, Md. Rezaul Karim, Md. Refat Jahan Rakib, Md. Ripaj Uddin

“…Heavy Metal Pollution Indices (HPIs) and multivariate statistical models (PCA, CA, and Pearson correlation) were applied to evaluate spatial-temporal variations, distribution, and pollution sources. …”
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Decoding airway granulogenesis in children: unveiling risk factors for tracheobronchial foreign body aspiration and complications by Yuting You, Meili Shen, Li’e Zeng, Jingyang Zheng

“…The solid foreign bodies were mostly nut foreign bodies, the location of implantation was the left lung rather than the right lung in many patients, and complications such as pulmonary atelectasis, emphysema, mediastinal and subcutaneous emphysema, and granulomatous tissue formation were noted in these patients. Statistical models suggested that the time of foreign body impaction and the release of oil were risk factors for tracheal granulation, with the logistic model presenting an AUC of 0.948, precision of 0.676, and sensitivity of 0.895, whereas the XGBoost model presented an AUC of 0.902, precision of 0.912, and sensitivity of 0.875. …”
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Bacteriological Contamination of Drinking Water Supply from Protected Water Sources to Point of Use and Water Handling Practices among Beneficiary Households of Boloso Sore Woreda,... by Matusala Gizachew, Amha Admasie, Chala Wegi, Etagegnehu Assefa

“…Descriptive and logistic regression statistical models were used. Sixty percent of shallow wells, 60% of protected hand-dug wells, and 25% of protected on-spot springs were found positive for faecal coliform. …”
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Serological insights from SARS-CoV-2 heterologous prime and boost responses in Thailand by Daniel Ward, Lapasrada Pattarapreeyakul, Rujiraporn Pitaksalee, Naphatcha Thawong, Waritta Sawaengdee, Suthida Tuntigumthon, Catriona Patterson, Kevin Tetteh, Susana Campino, Panadda Dhepakson, Surakameth Mahasirimongkol, Taane G. Clark

“…The development of statistical models to predict breakthrough infections can improve serological surveillance. …”
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Optimization of the Formulation of Rice Biscuits Supplemented with D. Edulis (L.) Powder Using Response Surface Methodology by Eliane Flore Eyenga, Hippolyte Tene Mouafo, Mercy Bih Loh Achu, Wilfred F. Mbacham, Sali Atanga Ndindeng

“…The effect of substituting margarine and refined wheat flour with D. edulis powder locally called safou and rice flour, respectively, at different proportions was assessed for the sensory and physicochemical properties of the formulated biscuits. For this, statistical models were developed, validated, and optimized using the response surface methodology with the Doehlert design as a tool. …”
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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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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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Explainable Self-Supervised Dynamic Neuroimaging Using Time Reversal by Zafar Iqbal, Md. Mahfuzur Rahman, Usman Mahmood, Qasim Zia, Zening Fu, Vince D. Calhoun, Sergey Plis

“…Objective: Functional magnetic resonance imaging data pose significant challenges due to their inherently noisy and complex nature, making traditional statistical models less effective in capturing predictive features. …”
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Low back pain trends attributable to high body mass index over the period 1990–2021 and projections up to 2036 by Jiling Zhang, Baodong Wang, Congying Zou, Tianyi Wang, Lihui Yang, Yu Zhou

“…A Bayesian age-period cohort (BAPC) model was used to assess the corresponding trends from 2022 to 2036. Additionally, statistical models, such as decomposition analysis and frontier analysis, were used.ResultsAccording to the GBD 2021, the number of DALYs caused by LBP attributed to high BMI reached 8,363,759 in 2021, which is an increase of 170.97% since 1990. …”
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Distance to Specialist Medical Care and Diagnosis of Obstructive Sleep Apnea in Rural Saskatchewan by Catherine M. Spagnuolo, Michael McIsaac, James Dosman, Chandima Karunanayake, Punam Pahwa, William Pickett

“…Follow-up occurred until 2015. 6525 adults from 3731 households constituted our sample. Statistical models used log-binomial regression. Rural adults who reported the largest travel distances (≥250 km) to specialist medical care were 1.17 (95% CI: 1.07, 1.29) times more likely to report OSA symptoms in the absence of a sleep apnea diagnosis than those who reported the smallest (<100 km; referent) distances. …”
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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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Measurement-Based Prediction of mmWave Channel Parameters Using Deep Learning and Point Cloud by Hang Mi, Bo Ai, Ruisi He, Anuraag Bodi, Raied Caromi, Jian Wang, Jelena Senic, Camillo Gentile, Yang Miao

“…It is difficult to characterize the time-varying characteristics of mmWave channels through statistical models, e.g. slope-intercept models for path loss and lognormal models for delay spread and angular spread. …”
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