Abstract

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.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Research Project (R01)
Project #
8R01EB002784-28
Application #
6621165
Study Section
Special Emphasis Panel (ZRG1-SNEM-5 (01))
Program Officer
Pastel, Mary
Project Start
1993-01-15
Project End
2004-12-31
Budget Start
2003-01-03
Budget End
2003-12-31
Support Year
28
Fiscal Year
2003
Total Cost
$172,959
Indirect Cost

  Institution

Name
Stanford University
Department
Biostatistics & Other Math Sci
Type
Schools of Arts and Sciences
DUNS #
009214214
City
Stanford
State
CA
Country
United States
Zip Code
94305

  Publications

Efron, Bradley (2014) Estimation and Accuracy after Model Selection. J Am Stat Assoc 109:991-1007
Rath, Barbara A; Yousef, Kaveh Pouran; Katzenstein, David K et al. (2013) In vitro HIV-1 evolution in response to triple reverse transcriptase inhibitors & in silico phenotypic analysis. PLoS One 8:e61102
Smith, Roger S; Efron, Bradley; Mah, Cheri D et al. (2013) The impact of circadian misalignment on athletic performance in professional football players. Sleep 36:1999-2001
Rath, Barbara A; Olshen, Richard A; Halpern, Jerry et al. (2012) Persistence versus reversion of 3TC resistance in HIV-1 determine the rate of emergence of NVP resistance. Viruses 4:1212-34
Efron, Bradley (2011) The bootstrap and Markov-chain Monte Carlo. J Biopharm Stat 21:1052-62
Efron, Bradley (2010) The Future of Indirect Evidence. Stat Sci 25:145-157
Efron, Bradley (2010) Correlated z-values and the accuracy of large-scale statistical estimates. J Am Stat Assoc 105:1042-1055
Efron, Bradley (2009) Empirical Bayes Estimates for Large-Scale Prediction Problems. J Am Stat Assoc 104:1015-1028
Efron, Bradley (2009) Are a set of microarrays independent of each other? Ann Appl Stat 3:922-942
Kohrt, Holbrook E; Olshen, Richard A; Bermas, Honnie R et al. (2008) New models and online calculator for predicting non-sentinel lymph node status in sentinel lymph node positive breast cancer patients. BMC Cancer 8:66

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