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Biostatistics
Study Examples
| Key Publications | Intro
Biostatisticians at Group Health Center for Health
Studies (CHS) are involved in a wide variety of both
methodological and collaborative research activities. These activities
include:
- Statistical coordination of the Breast Cancer
Surveillance Consortium
- Participating in the Cancer Intervention and
Surveillance Modeling Network for colorectal cancer
- Providing statistical leadership for the Centers
for Disease Control and Prevention's National Vaccine Safety Datalink
project
- Providing statistical support for
many other studies
The group’s primary goals are to develop, improve, and
apply statistical methodology to facilitate high-quality health care
research and benefit public health. Center biostatisticians specialize in
areas of methodologic interest that include the following:
- Bayesian methodology (including meta-analytic
models, hierarchical/multilevel modeling, and nonparametric methods)
- Diagnostic and screening test accuracy
- Latent class analysis
- Longitudinal data analysis
- Microsimulation modeling
- Methods for estimating and describing
inter-rater agreement
- Survival analysis
CHS biostatistics faculty members collaborate with CHS
investigators as well as researchers at the University of Washington (UW),
the Fred Hutchinson Cancer Research Center (FHCRC), Veterans Affairs
(VA), and other HMO Research Network sites to address questions such
as:
- What is the impact of screening on trends in
colorectal cancer incidence and mortality?
- What factors affect the accuracy of
radiologists' assessments of mammograms?
- How can we better design studies to assess
influenza vaccine effectiveness in the elderly?
- Does calibration improve the quality of coronary
artery calcium measurements from computed tomography (CT) images?
- Can individuals with bipolar disorder accurately
recall symptoms of mania and depression?
"Being at a statistician at Group Health is especially
rewarding," says CHS associate investigator Carolyn M. Rutter, PhD,
"because our findings can be quickly integrated into patient
care."
Study Examples
| Key Publications | Intro
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"Group Health's automated data systems and new
electronic medical record present exciting challenges for the development of
statistical methods that make the most of these unique and rich research
resources."
Diana L. Miglioretti, PhD, associate investigator at
CHS
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| Major CHS Research Interests |
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