From the 1 of 8 linked papers with an AI index.
6 papers · 1 filter
FLAME: A Model for Duration-Dependent Risk Accumulation in Episodic Temporal Exposures
Xinkai Zhou, Lee Goeddel, Nauder Faraday +1
Emerging technologies enable continuous monitoring of temporal exposures to disease risk factors, leading to complex exposure processes characterized by subject-specific numbers an…
Function on Scalar Regression with Complex Survey Designs
Lily Koffman, Sunan Gao, Xinkai Zhou +3
Large health surveys increasingly collect high-dimensional functional data from wearable devices, and function on scalar regression (FoSR) is often used to quantify the relationshi…
Inference for the Extended Functional Cox Model: A UK Biobank Case Study
Erjia Cui, Angela Zhao, Ciprian M. Crainiceanu
Multiple studies have shown that scalar summaries of objectively measured physical activity (PA) using accelerometers are the strongest predictors of mortality, outperforming all t…
Fast Bayesian Functional Principal Components Analysis
Joseph Sartini, Xinkai Zhou, Liz Selvin +2
Functional Principal Components Analysis (FPCA) is a widely used analytic tool for dimension reduction of functional data. Traditional implementations of FPCA estimate the principa…
Generalized Multilevel Functional Principal Component Analysis with Application to NHANES Active Inactive Patterns
Xinkai Zhou, Julia Wrobel, Ciprian M. Crainiceanu +1
Between 2011 and 2014 NHANES collected objectively measured physical activity data using wrist-worn accelerometers for tens of thousands of individuals for up to seven days. In thi…
Generalized Conditional Functional Principal Component Analysis
Yu Lu, Xinkai Zhou, Erjia Cui +4
We propose generalized conditional functional principal components analysis (GC-FPCA) for the joint modeling of the fixed and random effects of non-Gaussian functional outcomes. Th…