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Samantha R. Cook, Ph.D. I work at google now! scook@google.com
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I work on search quality at google's New York office. Used to be a post-doc in the Statistics Department at Columbia University, working with Andrew Gelman. I received my Ph.D. in Statistics from Harvard University in 2004 an my BS in Mathematics and Statistics at The University of Michigan in 1999 (with Tom Brady).
My main research interests are missing data, causal inference, and
Bayesian methods.
Current research projects include systematically debugging Bayesian
model-fitting software, multiple imputation of missing outcomes in the
Anthrax vaccine clinical trial, and using historical information to model
disease progression. I've been involved with applied projects in
anthropology and psychology, including long-term collaboration with
psychologists at McLean Hospital on schizophrenia research. I'm just
starting to work on trying to make surveys less painful by using
regression modeling in place of/in addition to weighting.
BayesValidate: R package for testing Bayesian
model-fitting software (read the
associated
paper here)
(Updated August 19, 2005)