9 citations · 25 across the 6 of their papers we have counts for
6 papers
Nonparametric Simulation Extrapolation for Measurement Error Models
Dylan Spicker, Michael Wallace, Grace Yi
The presence of measurement error is a widespread issue which, when ignored, can render the results of an analysis unreliable. Numerous corrections for the effects of measurement e…
Text mining and sentiment analysis of COVID-19 tweets
Qihuang Zhang, Grace Y. Yi, Li-Pang Chen +1
The human severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2), causing the COVID-19 disease, has continued to spread all over the world. It menacingly affects not only pub…
Generalizations to Corrections for the Effects of Measurement Error in Approximately Consistent Methodologies
Dylan Spicker, Michael P Wallace, Grace Y Yi
Measurement error is a pervasive issue which renders the results of an analysis unreliable. The measurement error literature contains numerous correction techniques, which can be b…
Sensitivity Analysis of Error-Contaminated Time Series Data under Autoregressive Models with Application of COVID-19 Data
Qihuang Zhang, Grace Y. Yi
Autoregressive (AR) models are useful tools in time series analysis. Inferences under such models are distorted in the presence of measurement error, which is very common in practi…
COVID-19: Should We Test Everyone?
Grace Yi, Wenqing He, Dennis Kon-Jin Lin +1
Since the beginning of 2020, the coronavirus disease 2019 (COVID-19) has spread rapidly in the city of Wuhan, P.R. China, and subsequently, across the world. The swift spread of th…
Simultaneous Model Selection and Estimation for Mean and Association Structures with Clustered Binary Data
Xin Gao, Grace Y. Yi
This paper investigates the property of the penalized estimating equations when both the mean and association structures are modelled. To select variables for the mean and associat…