Results 41 to 50 of about 705 (114)
ABSTRACT Factor analysis (FA) can be used to identify key biomarkers in biological processes by assuming that latent biological pathways (statistically, “latent factors”) drive the activity of measurable biomarkers (“observed variables”). However, biological pathways often interact, meaning that the classical FA assumption of independence between ...
Jiachen Cai +2 more
wiley +1 more source
Advances in Modal Regression: From Theoretical Foundations to Practical Implementations
Modal regression. ABSTRACT Modal regression has emerged as a powerful alternative to traditional mean and quantile regression by focusing on estimating the conditional mode rather than the conditional mean or quantiles. This approach offers robustness to outliers and skewed distributions while providing more informative prediction intervals for ...
Sijia Xiang, Weixin Yao, Xinping Cui
wiley +1 more source
ABSTRACT Technological advancements in wearable devices and medical imaging often lead to high‐dimensional physiological signals in the form of images or surfaces. To address these data structures, we develop a novel survival on image regression model with a specific focus on partially functional distributional representation of wearable data.
Rahul Ghosal +2 more
wiley +1 more source
Patterns of chronic ethanol drinking in male and female cynomolgus monkeys
These studies in male and female cynomolgus monkeys replicate previous findings of a predictive relationship between characteristics of drinking during schedule induction and later open‐access drinking. Sex differences in daily patterns of ethanol intake were identified that may inform treatment approaches.
Joshua N. Prete +4 more
wiley +1 more source
Plant height defined growth curves can predict end of season maize yield
Abstract The development of quick, easy, and low‐cost methods to quantify within‐field variation is essential to successful implementation of mid‐season management for precision agriculture at scale. Temporal plant height and growth rates collected with unoccupied aerial vehicles mounted with red, green, blue sensors have the potential to predict ...
Dorothy D. Sweet +3 more
wiley +1 more source
It is shown how summary statistics of functional data and functional principal components analysis (FPCA) can be used to evaluate the stationarity assumption considered in modeling of regionalized variables.
Giraldo Ramón
doaj
Se muestra cómo las estadísticas descriptivas funcionales y el análisis en componentes principales funcional (ACPF) pueden emplearse en la evaluación empírica del supuesto de estacionariedad considerado en la modelación de variables regionalizadas.
RAMÓN GIRALDO
doaj
BackgroundThis retrospective study explores two radiomics methods combined with other clinical variables for predicting recurrence free survival (RFS) and overall survival (OS) in patients with pulmonary metastases treated with stereotactic body ...
Pascal Salazar +3 more
doaj +1 more source
Insights into Neuromuscular Function in Older Adults from Functional Data Analysis of Time-Dependent Handgrip Strength Curves. [PDF]
Urbano D, Inácio M, Restivo MT.
europepmc +1 more source

