Recent advances in experimental methods, such as microarrays, fMRI imaging, and protein spectroscopy, have vastly increased the size and scope of biomedical data analyses. This has challenged traditional statistical theory, which was mainly developed to deal with small """"""""one-at-a-time"""""""" problems. New statistical methodology is being invented, and the purpose here is to bring these developments to bear on massively parallel data sets such as those produced in microarray experiments. Two complementary aspects of statistical inference in large data sets will be attacked; identifying individually significant cases (e.g. genes), among hundreds or thousands of possibilities and identifying groups of cases that work together to influence disease etiology.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Method to Extend Research in Time (MERIT) Award (R37)
Project #
5R37EB002784-33
Application #
7384441
Study Section
Special Emphasis Panel (ZRG1-BDMA (01))
Program Officer
Peng, Grace
Project Start
1993-01-15
Project End
2010-01-31
Budget Start
2008-02-01
Budget End
2009-01-31
Support Year
33
Fiscal Year
2008
Total Cost
$210,285
Indirect Cost
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
Efron, Bradley (2015) Frequentist accuracy of Bayesian estimates. J R Stat Soc Series B Stat Methodol 77:617-646
Efron, Bradley (2014) Estimation and Accuracy after Model Selection. J Am Stat Assoc 109:991-1007
Yoon, Sangho; Assimes, Themistocles L; Quertermous, Thomas et al. (2014) Insulin resistance: regression and clustering. PLoS One 9:e94129
Efron, Bradley (2014) Two modeling strategies for empirical Bayes estimation. Stat Sci 29:285-301
Won, Joong-Ho; Lim, Johan; Kim, Seung-Jean et al. (2013) Condition Number Regularized Covariance Estimation. J R Stat Soc Series B Stat Methodol 75:427-450
Olshen, Adam B; Hsieh, Andrew C; Stumpf, Craig R et al. (2013) Assessing gene-level translational control from ribosome profiling. Bioinformatics 29:2995-3002
Efron, Bradley (2013) Mathematics. Bayes' theorem in the 21st century. Science 340:1177-8
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
Bavinger, Clay; Bendavid, Eran; Niehaus, Katherine et al. (2013) Risk of cardiovascular disease from antiretroviral therapy for HIV: a systematic review. PLoS One 8:e59551
Won, Joong-Ho; Jeon, Yongkweon; Rosenberg, Jarrett K et al. (2013) Uncluttered Single-Image Visualization of Vascular Structures Using GPU and Integer Programming. IEEE Trans Vis Comput Graph 19:81-93

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