Grant Details
Grant Number: |
2R01CA059039-27 Interpret this number |
Primary Investigator: |
Efron, Bradley |
Organization: |
Stanford University |
Project Title: |
Adaptation of New Statistical Ideas for Medicine |
Fiscal Year: |
2002 |
Abstract
DESCRIPTION (provided by applicant): Biostatistical methodology is in a race to
keep up with the massive databases being accumulated by new biomedical
technologies. The long-term purpose of this grant has been to shorten the
transfer time between modern statistical theory and its successful application
to practice. The three new projects proposed here each use computer-intensive
theoretical ideas to attack a difficult applications area: empirical Bayes
methods for the analysis of microarray data; two way proportional hazards
modeling for disentangling complicated survival situations that arise in cancer
and HIV studies; and new permutation and bootstrap methods for assessing
genotype-phenotype relationships in large association studies.
Publications
None