Results 41 to 50 of about 705 (114)

Dynamic Factor Analysis for Sparse and Irregular Longitudinal Data: An Application to Metabolite Measurements in a COVID‐19 Study

open access: yesStatistics in Medicine, Volume 45, Issue 6-7, March 2026.
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

open access: yesWIREs Computational Statistics, Volume 18, Issue 1, March 2026.
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

Survival on Image Regression With Application to Partially Functional Distributional Representation of Physical Activity

open access: yesStatistical Analysis and Data Mining: An ASA Data Science Journal, Volume 19, Issue 1, February 2026.
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

open access: yesAlcohol, Clinical and Experimental Research, Volume 50, Issue 2, February 2026.
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

Additional file 1 of Using functional principal component analysis (FPCA) to quantify sitting patterns derived from wearable sensors

open access: yes
Supplementary Material 1.
Zablocki, Rong W.   +10 more
openaire   +1 more source

Plant height defined growth curves can predict end of season maize yield

open access: yesThe Plant Phenome Journal, Volume 8, Issue 1, December 2025.
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

EXPLORATORY ANALYSIS OF REGIONALIZED VARIABLES WITH FUNCTIONAL METHODS ANÁLISIS EXPLORATORIO DE VARIABLES REGIONALIZADAS CON MÉTODOS FUNCIONALES

open access: yesRevista Colombiana de Estadística, 2007
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  

Análisis exploratorio de variables regionalizadas con métodos funcionales Exploratory Analysis of Regionalized Variables with Functional Methods

open access: yesRevista Colombiana de Estadística, 2007
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  

Predefined and data-driven CT radiomics predict recurrence-free and overall survival in patients with pulmonary metastases treated with stereotactic body radiotherapy.

open access: yesPLoS ONE
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

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