Wednesday, November 4, 2009
Contact: Julie McKeel

The Duke Translational Medicine Institute was provided with funds through the National Institutes of Health (NIH) Clinical and Translational Science Awards grant again this year to support research projects in biostatistical methodology applicable to clinical and translational science. Awards were announced in August with an anticipated start date of September 1, 2009.

These internal grants are intended primarily to provide sufficient protected time for recipients to develop pilot results in anticipation of research grant applications to external agencies and to submit these results for peer-reviewed publication. The applications were to be relevant to either the "bench to bedside" or the "trials to population" translational block of research. Multiple individual awards will be available each year over the next few years.

Each award is intended to cover partial salary and benefits for the recipient for one year. Other relevant expenses will be allowed with justification. The total award per year will be $35,000. Grants are renewable in a competitive renewal process, for one additional year with appropriate justification and adequate annual progress reports. A progress report is required on at the end of the first year and at the end of the second year, if a second year is awarded.

Applications were reviewed by a panel of experts consisting of several senior members of the Department of Biostatistics and Bioinformatics as well as several external reviewers chosen for their expertise in biostatistics or translational medicine.

The awardees and their projects are:

	Andrew Scott Allen, PhD Associate Professor DUMC Department of Biostatistics and Bioinformatics Statistical methods for genome-wide haplotype-based association analyses of quantitative trait data
	Cliburn Chan, MD, PhD Assistant Research Professor DUMC Department of Biostatistics and Bioinformatics Center for Computational Immunology Polychromatic flow cytometric immune profiling to predict lung transplantation outcomes
	Cynthia Lea Green, PhD Assistant Professor of Biostatistics and Bioinformatics Statistical methods to standardize evaluation of cardiac risk
	Andrzej Kosinski, PhD Associate Professor of Biostatistics and Bioinformatics Issues in analysis of abstinence data in substance abuse research
	Maggie Kuchibhatla, PhD Associate Professor of Biostatistics and Bioinformatics Growth mixture modeling in diverse populations: a randomized depression trial and depression in an epidemiological survey
	Xiaofei Wang, PhD Assistant Professor of Biostatistics and Bioinformatics Design and statistical inference in biomarker-directed cancer clinical trials