BCIG SPEAKER EVENT:
“Musings by a Statistician: What every Computer Scientist and Biomedical
Researcher Should Know about Statistics but are Afraid to Ask”
Clinical
Center (Building 10) Medical Board Room (Room 2C116)

- view the seminar archive
ABSTRACT: The clash and blend of bench experimental design and
clinical study design; the end of hypothesis testing. What do large and small
data mean? Over the years of dealing with studies and their data that range from
microarrays to proteomics to fMRI, the same issues have arisen. Where variance
can cause problems, what types of statistical analyses should be done using what
data, and the number of samples needed come up over and over again. Different
professional languages, same goal, different rules we are taught to do research
by, what happens in the end? When is a pilot just a pilot, and what do you want
when you make the nightly news anyway?
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3:30 - 5:00 pm September 11, 2008

Dr. Laura Lee Johnson is the statistician for the National Institutes of
Health’s National Center for Complementary and Alternative Medicine (NCCAM). She
has extensive experience and expertise in the design and conduct of clinical
trials, both in complementary and alternative medicine and cancer, ranging from
small laboratory experiments to Phase III randomized clinical trials. In her
current position at NCCAM she works with extramural grantees through the Office
of Clinical and Regulatory Affairs, oversees the statistical needs of the NCCAM
intramural program, and develops dose ranging and whole systems study designs
for CAM modalities. She is the NCCAM liaison and project team member for two NIH
Roadmap Initiatives: PROMIS, the Patient Reported Outcomes Measurement
Information System, and the Clinical and Translational Science Award (CTSA)
Informatics and Biostatistics/Epidemiology/Research Design groups. She has
developed analysis techniques for analyzing quality of life data in end of life
patient populations. Dr. Johnson received her Ph.D. in Biostatistics from the
University of Washington in Seattle where she taught introductory biostatistics
to clinical fellows and currently teaches as a part of the NIH course
Introduction to the Principles and Practices of Clinical Research. She likes big
data on lots of people!
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