Publications by authors named "Alvaro Mendez-Civieta"
Biostatistics
October 2024
Article Synopsis
- - The paper presents functional quantile principal component analysis (FQPCA), a new technique that builds on functional principal components analysis (FPCA) to analyze individual-specific quantile curves, providing deeper insights into participant-level data.
- - FQPCA effectively estimates patterns across participants and captures variations in data distribution, making it suitable for handling discrepancies like outliers and skewed data, particularly in physical activity data from wearables.
- - The methodology is demonstrated using accelerometer data from a national survey, producing quantile curves for physical activity and is supported by simulations, with the approach available as an R package for practical use.
