Difference: JeffreyBlume (r12 vs. r11)



Jeffrey D. Blume, PhD


Associate Professor of Biostatistics

Associate Professor of Biomedical Informatics

Director of Graduate Studies

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E-mail: j 'dot' blume 'at' vanderbilt 'dot' edu
Phone: (615) 343-9267
Fax: (615) 343-4924
Assistant to Director of Graduate Studies: Amanda Harding
Vanderbilt University School of Medicine
Department of Biostatistics
2525 West End, Ste. 11000
Nashville, TN 37203

Professor Blume is I am an Associate Professor in the Department of Biostatistics at Vanderbilt University School of Medicine. He is I am the founding Director of Graduate Studies, Studies having founded the program after arriving at Vanderbilt in 2008. Professor Blume Biostatistics at Vanderbilt. I received his my Ph.D. in Biostatistics from the John Hopkins School of Public Health, where he I was the recipient of a National Eye Institute Traineeship in Clinical Trials. He has I am extensive experience in the development, operation, analysis, leading expert in likelihood methods for measuring statistical inference and methodological aspects I publish on the foundations of Clinical Trials. Before coming statistical inference. Recent work has led to Vanderbilt, he served as Deputy Director of the Biostatistics development and Data Management Center for the American College of Radiology Imaging Network (ACRIN). ACRIN is a NCI “second-generation funded cooperative group that specializes in clinical trials evaluating new medical imaging technology ( www.acrin.orgp). -value” that has significantly improved statistical and scientific properties. Throughout my career I have published broadly on the foundations of statistical inference, methodology for analyzing and interpreting receiver operating characteristic curves, clinical trials design and analysis, and neuroimaging. My collaborative experience is quite diverse, with a continuing emphasis on diagnostic and cancer trials, large-scale trials in emergency medicine, translational biomedicine, and radiologic and fMRI studies.

Professor Blume's research has been I also have extensive experience focused in three areas: (1) Likelihood methods for measuring statistical evidence / foundations of statistical inference, (2) methodology for analyzing and interpreting Receiver Operating Characteristic (ROC) curves, (3) the design, conduct development, operation, analysis, and analysis methodological aspects of Clinical Trials. Professor Blume Before coming is working to bring likelihood methods to bear on Vanderbilt, I served as Deputy Director statistical aspects of the drug/device Biostatistics approval process and to develop likelihood methods that will yield highly efficient adaptive clinical trial Data Management Center for the American College of Radiology Imaging Network. ACRIN designs. However, Dr. Blume is currently supervising 3 PhD candidates a NCI funded cooperative group that specializes in his lab, who are working clinical trials evaluating new medical imaging technology. I have been the lead statistician for numerous large-scale multicenter trials and regularly chair and serve on an interesting variety of topics: missing data safety monitoring boards. I regularly teach in prediction modeling, false discovery rates, mediation analyses, empirical Bayes methods, Prentice the Radiological Society of North America’s exclusive Clinical Trial Methodology Workshop criterion for surrogate endpoints, junior faculty. and re-sampling methods.

Professor Blume's Curriculum Vitae

My current research program is focused on three areas: missing data and prediction, mediation analysis, and empirical Bayes methods for the evaluation of surrogate outcomes and for recovering information from published prediction models. Three PhD students work with me in the Statistical Evidence in Data Science (SEDS) lab. Recent work is as follows: we have discovered how to construct a prediction model that minimizes the average out-of-sample prediction error without imputing any missing data; we have developed a new framework for estimating mediation effects that posits just one regression model instead of three; we have extended the Prentice criteria for surrogate outcomes to partial surrogates; and we have discovered how to extract the statistical information behind a published black-box prediction model and use it to improve other prediction models.

Biostatistics Graduate Program

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JB-thumbnail.jpgBlume_CV_Nov16.pdfjpg pdf JB-thumbnail.jpg Blume_CV_Nov16.pdf manage13.5 K 181.0 K 10 07 Nov 2011 2016 - 17:16 22:05 JeffreyBlume  
JBlume_Feb16.pdfJB-thumbnail.jpgpdf jpg JBlume_Feb16.pdf JB-thumbnail.jpg manage174.7 K 13.5 K 28 Feb 2016 10 Nov 2011 - 19:33 17:16 JeffreyBlumeJBlume   CV Feb2016

 
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