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Professor of Biostatistics
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Control for confounding in the presence of measurement error in hierarchical models.
A penalized latent class model for ordinal data.
An informative Bayesian structural equation model to assess source-specific health effects of air pollution.
Wavelet-based functional linear mixed models: an application to measurement error-corrected distributed lag models.
Measurement error caused by spatial misalignment in environmental epidemiology.
Bayesian kernel machine regression for estimating the health effects of multi-pollutant mixtures.
Causal mediation analysis for longitudinal data with exogenous exposure.
Spatial measurement error and correction by spatial SIMEX in linear regression models when using predicted air pollution exposures.
Graduate Training in Biostatistics
Workshop for Junior Biostatisticians in Health Research
Respiratory health and air pollution: additive mixed model analyses.
Bayesian distributed lag interaction models to identify perinatal windows of vulnerability in children's health.
Lagged kernel machine regression for identifying time windows of susceptibility to exposures of complex mixtures.
Robust distributed lag models using data adaptive shrinkage.
Bayesian variable selection for multivariate zero-inflated models: Application to microbiome count data.
Informatively empty clusters with application to multigenerational studies.
The role of body mass index at diagnosis of colorectal cancer on Black-White disparities in survival: a density regression mediation approach.