2 citations · 4 across the 7 of their papers we have counts for
7 papers
Adjusting for bias due to measurement error in functional quantile regression models with error-prone functional and scalar covariates
Xiwei Chen, Yuanyuan Luan, Roger S. Zoh +3
Wearable devices enable the continuous monitoring of physical activity (PA) but generate complex functional data with poorly characterized errors. Most work on functional data view…
Generalized functional linear regression models with a mixture of complex function-valued and scalar-valued covariates prone to measurement error
Yuanyuan Luan, Roger S. Zoh, Sneha Jadhav +2
While extensive work has been done to correct for biases due to measurement error in scalar-valued covariates prone to errors in generalized linear regression models, limited work…
Scalable regression calibration approaches to correcting measurement error in multi-level generalized functional linear regression models with heteroscedastic measurement errors
Yuanyuan Luan, Roger S. Zoh, Erjia Cui +3
Wearable devices permit the continuous monitoring of biological processes, such as blood glucose metabolism, and behavior, such as sleep quality and physical activity. The continuo…
A Function-Based Approach to Model the Measurement Error in Wearable Devices
Sneha Jadhav, Carmen D. Tekwe, Yuanyuan Luan
Physical activity (PA) is an important risk factor for many health outcomes. Wearable-devices such as accelerometers are increasingly used in biomedical studies to understand the a…
Kendall's Tau for Functional Data Analysis
Sneha Jadhav, Shuangge Ma
We treat the problem of testing for association between a functional variable belonging to Hilbert space and a scalar variable. Particularly, we propose a distribution-free test st…
Pan-disease clustering analysis of the trend of period prevalence
Sneha Jadhav, Chenjin Ma, Yefei Jiang +2
For all diseases, prevalence has been carefully studied. In the "classic" paradigm, the prevalence of different diseases has usually been studied separately. Accumulating evidences…