Article
Plant Sciences
Paulo Pagliari, Fernando Shintate Galindo, Jeffrey Strock, Carl Rosen
Summary: Field studies often neglect the correlation between measurements taken on the same subject over time, leading to potential inference errors. Combining fixed, random, and repeated measurement effects in the same statistical model requires a more in-depth understanding of modeling error terms.
Article
Mathematics
Daniel Doz, Darjo Felda, Mara Cotic
Summary: This study analyzed the factors affecting students' mathematics grades and standardized test results, including gender, socio-economic status, school type, and geographic region. The results showed that boys had higher grades than girls, students with higher socio-economic status achieved better grades, students from scientific lyceums had the highest grades, and students from vocational schools had the lowest grades. Additionally, students from Northern Italy outperformed students from Southern Italy. These findings highlight the importance of addressing equity in assessment and promoting fair opportunities for students' future career and study prospects.
Article
Biochemical Research Methods
Suhyun Hwangbo, Sungyoung Lee, Seungyeoun Lee, Heungsun Hwang, Inyoung Kim, Taesung Park
Summary: The study proposes a new approach that takes into account non-linear effects and correlations among pathways in omics data analysis. The method is validated in real and simulated datasets and demonstrates superior performance in identifying biologically meaningful pathways.
Article
Environmental Sciences
Ang Li, Yanbing Li, Yayuan Mei, Jiaxin Zhao, Quan Zhou, Kai Li, Meiduo Zhao, Jing Xu, Xiaoyu Ge, Qun Xu
Summary: Metals can enter human bodies and lead to various physiological changes, including lipid peroxidation and oxidative stress damage, which may result in dyslipidemia. The impact of metals and metal mixtures on lipid profiles, especially in older adults, is not well understood. This study conducted repeated measurements on 201 older adults in Beijing and found associations between blood metals and lipid profiles. Metals such as cesium and copper were related to triglycerides, while manganese was mainly associated with higher HDL-C. Molybdenum showed opposite effects and metal mixtures were marginally associated with HDL-C, with manganese playing a crucial role.
Article
Computer Science, Artificial Intelligence
Pablo Moreno-Munoz, David Ramirez, Antonio Artes-Rodriguez
Summary: This paper presents a technique for detecting change points in sequences of high-dimensional and heterogeneous observations with a periodic temporal structure, by assuming that the observations lie in a lower-dimensional manifold and capturing periodic dependencies with non-stationary periodic covariance functions. This technique is validated on synthetic examples and demonstrated to be effective in detecting behavioral changes using real data acquired by smartphones.
PATTERN RECOGNITION
(2021)
Article
Ergonomics
Nafis Anwari, Mohamed Abdel-Aty, Amrita Goswamy, Ou Zheng
Summary: This study evaluates and compares Surrogate Safety Measures (SSMs) at different midblock sites equipped with Rectangular Rapid Flashing Beacons (RRFB) and Pedestrian Hybrid Beacons (PHB) in Florida. Extensive video data collected from July to November 2021 is used to analyze four pedestrian SSMs, including spatial gap, temporal gap, relative time to collision (RTTC), and Post Encroachment Time (PET). The study finds significant differences in SSM values across different treatment types and hours of the day through statistical tests. Regression analysis reveals significant differences in SSMs between RRFB and PHB sites. Non-linear models outperform linear models in predicting SSMs. Factors such as the presence of PHB, signal activation, and pedestrian and vehicular characteristics are found to be significant determinants of SSMs. Results suggest improved traffic safety at PHB sites compared to RRFB sites in terms of temporal SSMs, but decreased spatial gaps at PHB sites indicate pedestrians perceive vehicles to be closer than at RRFB sites.
ACCIDENT ANALYSIS AND PREVENTION
(2023)
Article
Operations Research & Management Science
Peter Tea, Tim B. Swartz
Summary: Anticipating opponents' serve and being aware of one's own serve tendencies are essential skills in tennis. Using Bayesian hierarchical models, this paper investigates the intended serve direction of professional tennis players at Roland Garros and reveals discernible differences between men's and women's tennis, as well as individual players.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Computer Science, Interdisciplinary Applications
Kei Hirose, Kanta Miura, Atori Koie
Summary: This article proposes a cluster-based LDA method that improves prediction accuracy through hierarchical clustering and cross-validation, while addressing computational efficiency.
COMPUTATIONAL STATISTICS & DATA ANALYSIS
(2023)
Article
Statistics & Probability
Yangchun Zhang, Pengfei Liu
Summary: This paper introduces the median-of-means approach for estimating unknown parameters in multiple linear regression model and regression model with autocorrelated error. The proposed estimators are robust against outliers and consistent, as demonstrated through extensive numerical simulations and a real dataset.
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS
(2021)
Article
Computer Science, Theory & Methods
Masud Rana, Justin Kosar, Shaqil Peermohamed
Summary: Interrupted time series (ITS) design is a quasi-experimental approach used in public health research for evaluating the impact of an intervention. However, the use of aggregated data can lead to issues, so we proposed three models to address different data limitations. By comparing the performance of different models, we found that hierarchical models have good applicability and performance.
STATISTICS AND COMPUTING
(2023)
Article
Mathematics
Yasunori Fujikoshi, Tetsuro Sakurai
Summary: This paper investigates the high-dimensional consistencies of KOO methods for selecting response variables in multivariate linear regression with different covariance structures. A sufficient condition for model selection consistency is obtained under a high-dimensional asymptotic framework, where the sample size n, the number of response variables p, and the number of explanatory variables k are large. The condition states that p/n -> c(1) (0 < c(1) < 1) and k/n-* c(2) [0, 1), satisfying c(1) + c(2) < 1.
Article
Environmental Sciences
Xiao Pan, Gokhan Yildirim, Ataur Rahman, Khaled Haddad, Taha B. M. J. Ouarda
Summary: This paper presents the development of peaks-over-threshold (POT) based regional flood frequency analysis (RFFA) techniques, comparing them to the traditional annual maximum (AM) flood model. The results show that the regularised linear models provide more accurate flood quantile estimates and greater flexibility than the AM-based RFFA techniques.
Article
Environmental Sciences
Yifu Gao, Abdullah Sahin, Jasper A. Vrugt
Summary: Variance-based analysis is used to quantify the sensitivity of the output y to the input variables x. This paper focuses on the sensitivity analysis of correlated input variables using high-dimensional model representation (HDMR) to separate the structural and correlative contributions. The results show that HDMR and HDMRext successfully analyze the structural and correlative contributions of the model output and provide an optimal experimental design for parameter correlation.
WATER RESOURCES RESEARCH
(2023)
Article
Biochemical Research Methods
Gabriel E. Hoffman, Panos Roussos
Summary: This paper introduces a new statistical software package called dream, which aims to increase power, control false positive rate, enable multiple types of hypothesis tests, and integrate with standard workflows. In experiments across multiple datasets, dream provides biological insight that existing software may not be able to offer, while addressing the issue of reproducible false-positive findings.
Article
Environmental Sciences
Thijs Endendijk, W. J. Wouter Botzen, Hans de Moel, Jeroen C. J. H. Aerts, Kymo Slager, Matthijs Kok
Summary: Flood events are projected to increase in frequency and severity, resulting in a higher flood risk. The use of flood risk models is crucial for effective disaster risk management, but vulnerability estimations and flood damage data are often limited. This study utilizes a unique dataset and finds that flood damage mitigation measures significantly reduce flood damage.
WATER RESOURCES RESEARCH
(2023)
Article
Physiology
D. Tosovic, C. Than, J. M. M. Brown
EUROPEAN JOURNAL OF APPLIED PHYSIOLOGY
(2016)
Article
Physiology
Christian Than, Danijel Tosovic, Laura Seidl, J. Mark Brown
EUROPEAN JOURNAL OF APPLIED PHYSIOLOGY
(2016)
Article
Neurosciences
Christian Than, Laura Seidl, Danijel Tosovic, J. Mark Brown
JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY
(2018)
Article
Engineering, Biomedical
Christian Than, Laura Seidl, J. Mark Brown
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2019)
Article
Physiology
Christian Than, Llion Roberts, Brooke K. Coombes, Danijel Tosovic, J. Mark Brown
EUROPEAN JOURNAL OF APPLIED PHYSIOLOGY
(2019)
Review
Sport Sciences
Clint T. Miller, Patrick J. Owen, Christian A. Than, Jake Ball, Kate Sadler, Alessandro Piedimonte, Fabrizio Benedetti, Daniel L. Belavy
Summary: Exercise training is more effective than true control or standard medical care for reducing pain in adults with chronic musculoskeletal pain. However, exercise training and the associated clinical encounter are more effective than non-exercise placebo treatments in reducing pain, with very low quality of evidence.
Letter
Sport Sciences
Patrick J. Owen, Tobias Saueressig, Daniel L. Belavy, Christian A. Than, Jake Ball, Kate Sadler, Alessandro Piedimonte, Fabrizio Benedetti, Clint T. Miller
Correction
Sport Sciences
Clint T. Miller, Patrick J. Owen, Christian A. Than, Jake Ball, Kate Sadler, Alessandro Piedimonte, Fabrizio Benedetti, Daniel L. Belavy
Article
Medicine, General & Internal
Reem H. Matar, Rania Mansour, Hayato Nakanishi, Karen Smayra, Joe El Haddad, Dilip K. Vankayalapati, Rohan Suresh Daniel, Danijel Tosovic, Christian A. Than, Mohamad H. Yamani
Summary: This systematic review and meta-analysis investigated the clinical characteristics of patients with myocarditis following COVID-19 mRNA vaccination. The study found that myocarditis post vaccination was more common in young male patients. The most common symptoms were chest pain, fever, myalgia, and chills. Imaging findings included ST-related changes on an electrocardiogram and hypokinesia on cardiac magnetic resonance imaging or echocardiography. Laboratory findings showed elevated Troponin I levels and elevated C-reactive protein. Non-steroid anti-inflammatory drugs and colchicine were the most common treatment modalities.
JOURNAL OF CLINICAL MEDICINE
(2022)
Review
Orthopedics
Christian A. Than, Maamoun Adra, Tom J. Curtis, Ao Shi, Grace E. Kim, Hayato Nakanishi, Reem H. Matar, J. Mark M. Brown, Zaher Dannawi, Belinda R. Beck
Summary: This meta-analysis examines the effects of exercise on Visual Analog Scale (VAS) and Oswestry Disability Index (ODI) scores in osteoporotic fractures. The study finds that exercise leads to significant reductions in VAS and ODI scores, particularly after 6 months.
JOURNAL OF ORTHOPAEDIC RESEARCH
(2023)
Review
Gastroenterology & Hepatology
Karen Smayra, Shahid Miangul, Nathanael Yap, Ao Shi, Fatma Abdulsalam, Maamoun Adra, Hayato Nakanishi, Jake Ball, Tara A. Betts, Christian A. Than, Aneeta Parthipun
Summary: This meta-analysis evaluates the safety and efficacy of TJLB in children. The results demonstrate high rates of technical success and adequate liver core biopsy samples, with a low rate of complications. TJLB is an effective method for diagnostic yield and postprocedural outcomes in pediatric patients with coagulopathies and ascites.
DIGESTIVE DISEASES AND SCIENCES
(2023)