Measurement Error and Misclassification
Develop marginal models in accommodating the measurement error and misclassification in the bivariate response models.
Research
Recent Work
Methods
Generalized Network Structure Model
Identify graphical structures among covariates in indicating gene regulatory network and incorporate network structure in a bivariate responses model.
Zero-inflated Poisson Models
Address an excess of zero counts in the modeling of count data.
Computing R package
augSIMEX: An C++ integrated R package in implementing augmented SIMEX approach to adjust for measurement and misclassification in covariates.
Text Mining
Analysis sentiment of the text using Twitter data.
Echo State Network
A type of reservoir computer that uses a recurrent neural network with a sparsely connected hidden layer.
Applications
Genome-wide assocation studies
Time series data
Copy number variant data
