Member Spotlight
Sherri Rose
A
s a third-year PhD student
in biostatistics at UC
Berkeley, this is a particu-
larly exciting time for me. My
dissertation research with advisor
Mark van der Laan focuses on
causal inference methodology for
biased sampling designs, specifi-
cally case-control studies.
Targeted maximum likelihood
estimation (TMLE) causal infer-
ence methodology has been
actively developed in the van der
Laan group for several years. It is
a two-step procedure in which
one first obtains an estimate of
the data-generating distribution
and then updates the initial fit in
a step targeted toward making an
optimal bias-variance trade-off
for the parameter of interest,
instead of the overall density.
The focus of my work has been
case-control weighted TMLE,
sherri Rose, a third-year PhD student in biostatistics at uC Berkeley.
which uses the prevalence prob-
ability in case-control weights to
My journey into statistics in mathematics and statistics to
estimate causal parameters not
did not, of course, begin here. the field of biostatistics and is also
previously available for case-con-
I earned my master’s in bio- offered at North Carolina State
trol studies. The method also can
statistics at Berkeley in 2007 University and the University of
be adapted for specific types of
and my bachelor’s in statistics Wisconsin, Madison. I highly rec-
case-control study designs, such as
from The George Washington ommend this program to under-
individually matched, frequency
University (GW) in 2005. As an graduates considering a career
matched, nested, and incidence-
undergraduate, I was constantly in biostatistics. It is an excellent
density. We are now applying case-
questioning whether to apply to way to learn about the variety of
control weighted TMLE to inter-
medical school or pursue a PhD. careers and opportunities for bio-
esting case-control data sets of all
Attending the Summer Institute statisticians while receiving hands-
types in collaboration with the
for Training in Biostatistics on training. SIBS was also the
University of Pennsylvania, Fred
(SIBS) at Boston University in first experience in which I spent
Hutchinson Cancer Research
2004 solidified my thinking that any concentrated time with other
Center, Stanford University
a PhD was a better fit, given my women who loved mathematics.
Medical Center, Universite Paris
interest in medical research. Almost all of my classmates in
Descarte, and the Dana-Farber
SIBS is designed to expose the upper-division mathematics
Cancer Institute, among others.
undergraduate students interested and statistics courses at GW were
OCTObER 2009 AMsTAT NEWs 17
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