Research
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I am interested in survival and
longitudinal Modeling, multilevel (hierarchical) Bayesian Inference,
MCMC and genetic epidemiology. My work is inspired by and applied to
biomedical and epidemiological studies. Research Experience
The major goals of this study are (1) to
identify and quantify baseline factors associated with success of
permanent smoking cessation and describe the full stochastic nature of
the smoking addiction pattern; and (2) to design computational
practical methods for dealing with the size of the data set and
complexity of the models. The study involves sophisticated modeling of
detailed longitudinal data on multiple related phenotypes. Further
complexities arise due to nested ¡°case-control¡± sampling for collection
of the genotype data. I am currently developing novel statistical
methodologies for analysis of this kind of data under the
co-supervision of Drs. Ciprian Crainiceanu and Thomas Louis from the
Biostatistics Department, John Hopkins University, and Dr. Nilanjan
Chatterjee in National Cancer Institute (NCI). |