Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA168524-03
Application #
8702112
Study Section
Subcommittee G - Education (NCI)
Project Start
Project End
Budget Start
2014-07-01
Budget End
2015-06-30
Support Year
3
Fiscal Year
2014
Total Cost
$51,263
Indirect Cost
Name
University of Kansas
Department
Type
DUNS #
016060860
City
Kansas City
State
KS
Country
United States
Zip Code
66160
Jiang, Yu; Simon, Steve; Mayo, Matthew S et al. (2015) Modeling and validating Bayesian accrual models on clinical data and simulations using adaptive priors. Stat Med 34:613-29
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