1 citations · 1 across the 3 of their papers we have counts for
3 papers
stat.ME2024
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…
stat.ME2023
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…
stat.ME2021★ 1 cited
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…