Improving multi-trait genomic prediction using synthetic traits from hyperspectral data based on co-heritability. [PDF]
Upadhyay A +10 more
europepmc +1 more source
Abstract Background Understanding symptom patterns of emerging psychopathology is essential for early detection and intervention. Network analysis offers a promising approach by conceptualizing emerging psychopathology as dynamic interactions between symptoms over time.
Xenia A. Häfeli +3 more
wiley +1 more source
Exploring the association between epigenetic age and intensive care unit delirium: a pilot feasibility study. [PDF]
Khan SH +15 more
europepmc +1 more source
Transdiagnostic profiles of socio‐affective functioning in adolescents at‐risk of poor mental health
Abstract Background Adolescence is a developmental period during which many mental health problems emerge or worsen. Recently, there has been a shift towards identifying risk factors that predict psychopathology across a range of diagnostic boundaries—known as ‘transdiagnostic’ approaches.
Alex Lloyd +7 more
wiley +1 more source
The relationship between smartphone distraction and clinical decision-making among nurses. [PDF]
Bekar P, Çalık SA, Efe E.
europepmc +1 more source
Abstract Background Taxometric analysis is designed to test whether the latent structure underlying clinical conditions is categorical (taxonic) or dimensional. Despite its relevance to ongoing debates on neurodevelopmental conditions, its application to this field remains limited.
Enrico Toffalini +4 more
wiley +1 more source
Mul-PheG2P: decoupled learning and prediction-space fusion enables robust and interpretable multi-phenotype genomic prediction. [PDF]
Wang J +8 more
europepmc +1 more source
Grain yield stability of corn hybrids using best linear unbiased predictors
Bulmaro Coutiño Estrada +1 more
openaire +1 more source
Methodological progress note: Descriptive, predictive, and causal observational studies
Abstract Observational data can be used to answer descriptive, predictive, and causal questions. Analysis of observational data can be challenging and may require complex analytical methods to produce meaningful, unbiased results; for example, when addressing confounding in causal studies.
Brett P. Dyer +2 more
wiley +1 more source
Improving genomic prediction in wheat with random regression models with genotype-specific phenology-driven environmental covariates. [PDF]
Dhakal R +9 more
europepmc +1 more source

