Article
Psychology, Multidisciplinary
Siwen Guo, Richard T. Houang, William H. Schmidt
Summary: This study developed a new approach with within-group finite population correction to decompose between and within effects, and found that this method had less bias and higher observed coverage rates in estimating between effects compared to manifest and latent aggregation approaches.
FRONTIERS IN PSYCHOLOGY
(2021)
Article
Computer Science, Software Engineering
Xinyu Zhang, Shenghui Cheng, Klaus Mueller
Summary: An exemplar is an entity that represents a desirable instance in a multi-attribute configuration space, offering strengths in some attributes without compromising others. Exemplars are necessary in various real-life applications. The Data Context Map (DCM) is studied as a method to visualize multi-attribute configuration spaces, enabling users to identify proper exemplars. Graphical enhancements, such as topographic maps, prove to be more effective than iso-contour and baseline DCM display in aiding users to understand attribute-wise tradeoffs and select better exemplar sets.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2023)
Article
Business, Finance
Qihao Chen, Zhuo Huang, Fang Liang
Summary: This paper utilizes high-frequency information and the Multivariate Realized GARCH framework with a multivariate skew-t distribution to measure systemic risk using the CoVaR measure. The empirical analysis using 5-minute data of 98 U.S. financial institutions from 2000 to 2022 demonstrates the improvement of high-frequency measurement. Additionally, the study explores the relationship between institutions' systemic risk contributions and firm-level characteristics, finding a positive association with firm size and leverage.
FINANCE RESEARCH LETTERS
(2023)
Article
Statistics & Probability
Jean Peyhardi, Pierre Fernique, Jean-Baptiste Durand
Summary: The study investigates the class of splitting distributions, showing that common parametric count distributions can be written as splitting distributions, facilitating interpretation and inference. It highlights the probabilistic properties and algebraic aspects of splitting distributions, simplifying parameter inference and model selection.
JOURNAL OF MULTIVARIATE ANALYSIS
(2021)
Article
Computer Science, Interdisciplinary Applications
Francisco Palmi-Perales, Virgilio Gomez-Rubio, Miguel A. Martinez-Beneito
Summary: The INLAMSM package offers multivariate spatial models for lattice data in the R programming language, suitable for Bayesian inference with the INLA package. It includes various structures to model spatial variation and between-variables variability, making fitting multivariate spatial models faster and easier. The package's usage is demonstrated with the North Carolina SIDS data and mortality data from Comunidad Valenciana (Spain).
JOURNAL OF STATISTICAL SOFTWARE
(2021)
Article
Engineering, Industrial
Hyojoong Kim, Heeyoung Kim
Summary: With advancement in sensing technologies, sensor data collected over time are now more useful for detecting anomalies in processes and systems. We propose a contextual anomaly detection method for multivariate time series data using a prediction model based on long short-term memory (LSTM) network. The model incorporates contextual information without propagating it over time, and its performance is verified on open-source datasets and real data from a tire company.
QUALITY ENGINEERING
(2023)
Article
Computer Science, Artificial Intelligence
Mahmut Yurt, Muzaffer Ozbey, Salman U. H. Dar, Berk Tinaz, Kader K. Oguz, Tolga Cukur
Summary: In this paper, a novel progressive volumetrization strategy for generative models (ProvoGAN) is introduced, which effectively recovers high-quality images while maintaining low model complexity and improved learning behavior.
MEDICAL IMAGE ANALYSIS
(2022)
Article
Psychology, Mathematical
Blakeley B. McShane, Ulf Bockenholt
Summary: The basic random effects meta-analytic model dominates psychological research, even when more complex multilevel multivariate models are appropriate. This paper introduces MLMVmeta, a user-friendly web application that implements multilevel multivariate meta-analytic methodology tailored to contemporary psychological research. Three case studies demonstrate the accuracy and extensive results obtained through these models, which progressively increase in complexity.
BEHAVIOR RESEARCH METHODS
(2023)
Article
Physics, Multidisciplinary
Yuliya Shapovalova, Nalan Basturk, Michael Eichler
Summary: This paper reviews two models for count data, one based on observation and the other based on parameters, and compares their forecasting performance on simulated and real datasets. The findings show that both models have advantages in different situations, and discuss the pros and cons of inference for both models in detail.
Article
Materials Science, Coatings & Films
Wil Gardner, David A. Winkler, David L. J. Alexander, Davide Ballabio, Benjamin W. Muir, Paul J. Pigram
Summary: In this study, two different ToF-SIMS imaging datasets were used to evaluate the impact of data preprocessing methods and SOM hyperparameters on the performance of SOM. It was found that preprocessing is generally more important than hyperparameter selection, and there are complex interactions between different parameters. The results of this study are important for understanding the effects of data processing on hyperspectral imaging data.
JOURNAL OF VACUUM SCIENCE & TECHNOLOGY A
(2023)
Article
Computer Science, Information Systems
Viswanath Venkatesh, Qin Weng, Arun Rai, Likoebe M. Maruping
Summary: The use of multilevel analysis in IS research has been increasing steadily. While many studies have successfully integrated two-level models into their examination of IS phenomena, there are limitations in terms of explicitly incorporating context into theory development and bridging the gap between micro- and macrolevel research. Three-level models have emerged as a potential solution to address these limitations, but there is little guidance on when and how to integrate them with theory development. This article aims to provide IS researchers with guidance on when to consider using three-level models, how to map model estimation to theoretical objectives, and offers an illustration of implementation.
JOURNAL OF THE ASSOCIATION FOR INFORMATION SYSTEMS
(2023)
Article
Mathematical & Computational Biology
Yujie Wu, Benjamin Langworthy, Molin Wang
Summary: Marginal structural models (MSMs) are powerful tools to estimate causal effects of time-varying exposures. This study proposes two methods to account for multilevel correlation structure and improve parameter estimates. The effects of different treatment probability models on the parameter estimates are explored, and the methods are applied to estimate the causal effects of aspirin use on hearing loss.
Article
Mathematical & Computational Biology
Yizeng He, Soyoung Kim, Lu Mao, Kwang Woo Ahn
Summary: Multivariate survival models are commonly used for analyzing multiple outcomes with right-censored data. However, these models may produce invalid results when there are competing risks. We propose a new model to address this issue.
STATISTICS IN MEDICINE
(2022)
Article
Geosciences, Multidisciplinary
Mohamed Elkhouly, Marco A. R. Ferreira
Summary: This study presents a novel multiscale spatiotemporal model for multivariate Gaussian data, allowing for flexible handling of spatial and temporal distribution characteristics, suitable for both stationary and nonstationary situations.
SPATIAL STATISTICS
(2021)
Article
Education, Special
Mariola Moeyaert, David A. Klingbeil, Emily Rodabaugh, Merve Turan
Summary: The meta-analysis found that peer tutoring interventions had significant effects on academic and social-behavior outcomes, with a slightly larger effect on academic outcomes. Including moderators such as gender, age, disability type, and study quality reduced heterogeneity between cases and studies.
REMEDIAL AND SPECIAL EDUCATION
(2021)
Review
Psychology, Developmental
Gianluca Serafini, Andrea Aguglia, Andrea Amerio, Giovanna Canepa, Giulia Adavastro, Claudia Conigliaro, Jacopo Nebbia, Larissa Franchi, Eirini Flouri, Mario Amore
Summary: This study systematically investigates the association between bullying and non-suicidal self-injury (NSSI). The findings indicate that both being a victim of bullying and perpetrating bullying may increase the risk of adverse psychological outcomes in terms of NSSI and suicidality.
CHILD PSYCHIATRY & HUMAN DEVELOPMENT
(2023)
Article
Health Care Sciences & Services
Rafael A. Calvo, Dorian Peters, Laura Moradbakhti, Darren Cook, Georgios Rizos, Bjoern Schuller, Constantinos Kallis, Ernie Wong, Jennifer Quint
Summary: This study aims to determine the feasibility and usability of a text-based conversational agent to assess asthma risk and provide information for improving asthma control. The study will recruit 300 adult participants through various channels and assess their asthma outcomes. The study is expected to be completed in 2023, and will inform future pilot studies and randomized controlled trials.
JMIR RESEARCH PROTOCOLS
(2023)
Article
Multidisciplinary Sciences
Maria Pikoula, Constantinos Kallis, Sephora Madjiheurem, Jennifer. K. Quint, Mona Bafadhel, Spiros Denaxas
Summary: This study aims to evaluate different methods of constructing patient representations from electronic health record data for measuring patient similarity. The results show that data transformation has a significant impact on clustering analysis results, and the appropriate preprocessing pipeline should be selected based on feature ranking and clinical expertise.
Article
Family Studies
Jane Jiyoun Lee, Eirini Flouri
Summary: Little is known about the role of HPA axis functioning in children's cognitive development, especially among vulnerable groups. This study examined the relationship between diurnal cortisol slope and cognitive outcomes in maltreated children involved with child protective services. The results showed that a greater decline in cortisol levels throughout the day was associated with higher scores in applied problems and expressive communication, as well as lower odds of cognitive disability.
CHILDREN AND YOUTH SERVICES REVIEW
(2023)
Article
Family Studies
Xiaodi Chen, Jennifer L. Allen, Eirini Flouri, Xinyi Cao, Therese Hesketh
Summary: This study explores the transmission of educational aspirations from parents to children and the quality of parent-child communication about educational aspirations in socioeconomically disadvantaged families in rural China. The findings show that rural adolescents' educational aspirations are strongly influenced by their parents' beliefs and aspirations, and fulfilling parental aspirations and achieving economic success are important factors. However, communication quality is compromised when parents have an authoritarian communication style or are absent due to rural-urban migration, leading to stress and perceived lack of support for adolescents in achieving their goals. Additionally, mothers play a more significant role in communication than fathers. The implications of these findings for interventions promoting effective communication between rural parents and children about academic concerns are discussed.
JOURNAL OF CHILD AND FAMILY STUDIES
(2023)
Article
Clinical Neurology
E. Dawe-Lane, E. Flouri
Summary: Research explores the relationship between early parenting and self-harm in adolescence, and investigates the mediating role of emotion regulation and decision-making in childhood. The study finds indirect effects of parenting on self-harm through emotional dysregulation and identifies a positive association between delay aversion and self-harm in adolescence.
JOURNAL OF AFFECTIVE DISORDERS
(2023)
Article
Respiratory System
Constantinos Kallis, Ekaterina Maslova, Ann D. Morgan, Ian Sinha, Graham Roberts, Ralf J. P. van der Valk, Jennifer K. Quint, Trung N. Tran
Summary: The incidence of pediatric asthma in the UK has decreased since 2008, particularly among 1-5 year-olds. There has also been a decline in the prevalence of asthma and preschool wheeze. However, asthma exacerbation rates have been increasing.
Article
Respiratory System
Constantinos Kallis, Amit Kaura, Nathan A. Samuel, Abdulrahim Mulla, Ben Glampson, Kevin O'Gallagher, Jim Davies, Dimitri Papadimitriou, Kerrie J. Woods, Anoop D. Shah, Bryan Williams, Folkert W. Asselbergs, Erik K. Mayer, Richard W. Lee, Christopher Herbert, Stuart W. Grant, Nick Curzen, Iain B. Squire, Thomas Johnson, Ajay M. Shah, Divaka Perera, Rajesh K. Kharbanda, Riyaz S. Patel, Keith M. Channon, Jamil Mayet, Jennifer K. Quint
Summary: This study evaluated the relationship between peak cardiac troponin and subsequent major adverse cardiac events among patients admitted with COPD exacerbation. The results showed that patients with elevated troponin at exacerbation had a higher risk of adverse cardiac events and COPD hospital readmission.
INTERNATIONAL JOURNAL OF CHRONIC OBSTRUCTIVE PULMONARY DISEASE
(2023)
Article
Allergy
Constantinos Kallis, Ann Morgan, Louise Fleming, Jennifer K. Quint
Summary: Approximately 1 in 6 children and adolescents with active asthma are not achieving adequate control of their symptoms. Timely referral for specialist advice in secondary care is rare, especially in those with so-called mild asthma who nevertheless are at significant risk for poor asthma outcomes.
JOURNAL OF ASTHMA AND ALLERGY
(2023)
Article
Psychology, Educational
Zhaotian Chi, Lars-Erik Malmberg, Eirini Flouri
Summary: This study investigated the longitudinal relations between siblings' problem and prosocial behavior in different sibship sizes using the Strengths and Difficulties Questionnaire in the UK's Millennium Cohort Study. The results showed that older siblings had a dominant effect on younger siblings for internalizing and externalizing problems across sibship sizes. However, for prosocial behavior, there was a dominance of older siblings in families with two children and a dominance of youngest siblings in families with three children.
Article
Environmental Studies
Dimitris I. Tsomokos, Dongying Ji, Marie A. E. Mueller, Efstathios Papachristou, Eirini Flouri
Summary: We examined the impact of a lack of greenspace on sleep patterns in adolescents. Using data from a UK birth cohort, we analyzed the disparity in sleep duration compared to the recommended hours based on Time Use Diaries. Our findings showed that low-income adolescents in areas with little greenspace tended to sleep more than the recommended 8-10 hours, while those in greener areas slept less.
LANDSCAPE RESEARCH
(2023)
Article
Medicine, General & Internal
Constantinos Kallis, Rafael A. Calvo, Bjorn Schuller, Jennifer K. Quint
Summary: This study developed a simple personalized risk prediction model for asthma exacerbations using routine healthcare data, which can effectively differentiate patients who experienced asthma exacerbations within 3 months from those who did not.
PRAGMATIC AND OBSERVATIONAL RESEARCH
(2023)
Review
Respiratory System
Sara C. Buttery, Parris J. Williams, Saeed M. Alghamdi, Keir E. J. Philip, Alexis Perkins, Constantinos Kallis, Jennifer K. Quint, Michael I. Polkey, Sofie Breuls, Joren Buekers, Nikolaos Chynkiamis, Laura Delgado -Ortiz, Heleen Demeyer, Anja Frei, Judith Garcia-Aymerich, Elena Gimeno-Santos, Sarah Koch, Dimitrios Megaritis, Ashley Polhemus, Thierry Troosters, Ioannis Vogiatzis, Henrik Watz, Nicholas S. Hopkinson
Summary: This study conducted a systematic review on digital mobility outcomes in COPD patients, and found that daily step count and gait speed are negatively associated with mortality risk and other important outcomes. These findings may have value as prognostic indicators in clinical trials, but the quantity and quality of evidence is limited.
EUROPEAN RESPIRATORY REVIEW
(2023)
Article
Immunology
Ellie Roberts, Marta Francesconi, Eirini Flouri
Summary: Peer victimisation is a significant stressor during childhood. This study found that inflammation may serve as a biological mechanism for peer victimisation, but its impact on other stressors, such as adverse life events, is limited.
BRAIN BEHAVIOR & IMMUNITY-HEALTH
(2023)
Article
Environmental Studies
Marie A. E. Mueller, Eirini Flouri
Summary: This study examined the association between proximity to Sites of Importance for Nature Conservation (SINCs) and mental health and well-being in adolescents living in London. The results did not support the hypothesis that living close to SINCs would be associated with better mental health and higher levels of self-esteem and happiness. Further research is needed to explore this topic.
JOURNAL OF ENVIRONMENTAL PSYCHOLOGY
(2023)