Tanya Garcia: The Missing Link: Establishing the Parallels Between Censored Covariate and Missing Data

Her research innovates new statistical methods that solve important neuroscience and biomedical problems and advances the underlying theory of those methods. Her work has contributed to four exciting areas: prediction models, model selection for high-dimensional data, regression models with measurement error, mean-covariance modeling for longitudinal data.