Results 91 to 100 of about 394,339 (256)
Abstract Annual tree growth is a complex biological process. Modelling radial growth in the trunk by linear‐circular regression with one mode and correlated errors has allowed the definition and assessment of a preferred direction for 1 and 2 years. Here, modified F$$ F $$‐tests are presented for 3 years, 1 mode/year; 1 year, 2 modes for possible main ...
Pierre Dutilleul +2 more
wiley +1 more source
A partial envelope approach for modelling multivariate spatial‐temporal data
Abstract In the new era of big data, modelling multivariate spatial‐temporal data is a challenging task due to both the high dimensionality of the features and complex associations among the responses across different locations and time points.
Reisa Widjaja +3 more
wiley +1 more source
Dynamic survival risk prediction with time‐varying high‐dimensional images
Abstract Integrating longitudinal data with survival models is a prevalent strategy for dynamic survival risk prediction while accounting for subjects' longitudinally observed variables. However, existing methods primarily focus on scalar longitudinal data and seldom tackle the complexities associated with high‐dimensional longitudinal imaging data ...
Bingfan Liu +7 more
wiley +1 more source
Nonlinear permuted Granger causality
Abstract Granger causality is an established, contentious method that seeks causal temporal connections via association and precedence. While not true causal inference, it assists in mapping networks of information flow that may warrant further study.
Noah D. Gade, Jordan Rodu
wiley +1 more source
Abstract Assessing interdisciplinary learning within school curricula remains a persistent challenge in educational research. Difficulties in articulating shared assessment criteria, alongside differing disciplinary and pedagogical perspectives, have contributed to ongoing uncertainty around how interdisciplinary learning should be evaluated.
Hermione Paddle
wiley +1 more source
Abstract Aims This study aimed to evaluate the change of the main electrocardiographic (ECG) characteristics and their prognostic role across the main subtypes of cardiac amyloidosis [light‐chain amyloidosis (AL) and hereditary (ATTRv) and wild‐type transthyretin amyloidosis (ATTRwt)].
Alessia Argirò +20 more
wiley +1 more source
Abstract Background Unexplained exertional dyspnoea without significant elevation of natriuretic peptides is common. One of the causes might be early heart failure with preserved ejection fraction (HFpEF). Aims This study aimed to characterize patients with exertional dyspnoea and normal/near‐to‐normal N‐terminal pro‐brain natriuretic peptide (NT ...
Emmanuelle Berthelot +8 more
wiley +1 more source
In patients with Acute Myocardial Infarction related heart failure, the in‐hospital administration of ARNIs was associated with a reduced risk of MACEs and re‐hospitalizations for heart failure, as well as cardiac remodeling, compared to standard therapy.
Gianluca Di Pietro +15 more
wiley +1 more source
Abstract Aims Immune checkpoint inhibitors (ICI) are the cornerstone of modern oncology; however, side effects such as ICI‐related myocarditis (irM) can be fatal. Recently, Bonaca proposed criteria for irM; however, it is unknown if they correlate well with cardiovascular (CV) ICI‐related adverse events.
Lorenzo Braghieri +12 more
wiley +1 more source
Abstract Objective Epilepsy is a highly heterogeneous neurological disorder with significant prognostic variability. Accurate long‐term outcome prediction remains a clinical challenge. We investigated pharmacotherapeutic prognosis and key predictors, particularly baseline seizure timing, to guide individualized treatment.
Lei Sun +3 more
wiley +1 more source

