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University of Louisville

University of Louisville. The Department of Bioinformatics and Biostatistics. Faculty. Guy Brock, PhD, Assistant Professor Somnath Datta, PhD, Professor Susmita Datta, PhD, Associate Professor L. Jane Goldsmith, PhD, Associate Professor Maiying Kong, PhD, Assistant Professor

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University of Louisville

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  1. University of Louisville The Department of Bioinformatics and Biostatistics

  2. Faculty • Guy Brock, PhD, Assistant Professor • Somnath Datta, PhD, Professor • Susmita Datta, PhD, Associate Professor • L. Jane Goldsmith, PhD, Associate Professor • Maiying Kong, PhD, Assistant Professor • Steven J. McCabe, MD, MSc, Assistant Professor • John A. Myers, PhD, Assistant Professor • Rudolph S. Parrish, PhD, Professor and Chair • Shesh Rai, PhD, Associate Professor • Dongfeng Wu, PhD, Associate Professor • Jae Keun Yoo, PhD, Assistant Professor

  3. Programs and Initiatives • Masters in Public Health – concentration in Biostatistics • Biostatistics M.S. and Ph.D. • Decision Science M.S. and Ph.D. • Bioinformatics (upcoming) • Cancer Biostatistics (upcoming) • Collaborative Research • Statistical Consulting Center

  4. Current Degree Programs Students • MPH 2 • MS • Biostatistics 7 • Decision science 1 • Ph.D. • Biostatistics 15 • Decision science 1

  5. Master of Public Health • Nationally-known faculty • Leading-edge information technologies • Challenging, real-world experiences • A dynamic collaboration with the Louisville Metro Health Department provides first-hand opportunities to address public health challenges in a top-20 U.S. city

  6. What is biostatistics? • Biostatistics involves the development and application of statistical techniques to scientific research in health-related fields, including medicine, epidemiology, and public health. From http://www.amstat.org/Careers/copss/index.cfm?fuseaction=biostatistics

  7. Biostatisticians • Government • Federal • State • Local • Industry • Drug and device development • CRO’s • Research institutions • Grants funded through NIH and other agencies • Self-employed • Contract work

  8. Salaries for Ph.D. Biostatisticians Beginning Faculty Careers (1-3 years experience) • 25th percentile: $ 82,400 • 50th percentile: $ 85,000 • 75th percentile: $90,000

  9. Self-employed Statistical Consultants

  10. What is Bioinformatics? • The science of informatics as applied to biological research. • Informatics is the management and analysis of data using advanced computing techniques. • Statisticians are supposed to be experts in analyzing data

  11. What kind of data? Usually, in bioinformatics we deal with genomics, proteomics or metabolomics data. Example: Microarray data, Mass Spectrometry data and high dimensional data from different metabolites.

  12. DNA Microarray • A DNA microarray (or "chip") enables the geneticist to monitor the expression patterns of numerous genes (potentially all of the genes in a given cell type) at the same time. Example: Finding genes/biomarkers for cancer • Identify the set of genes that are “differentially expressed” between normal and cancer cells • microarray experiment among two (or more) cell types e.g., 1 = normal cell; 2 = cancer cell

  13. cDNA microarray Data: log (R / G)

  14. Analyzing Microarray Data: • Goal: to find differentially expressed genes • Problem: obscure variability mixed with true • Solution (using Statistics!)

  15. Biological question Differentially expressed genes Sample class prediction etc. Experimental design Microarray experiment 16-bit TIFF files Image analysis (Rfg, Rbg), (Gfg, Gbg) Normalization R, G Estimation Testing Clustering Discrimination Biological verification and interpretation

  16. Decision Science • Understanding decision making in the context of public health • To understand how decisions are made • To improve decision making • To study specific decision making problems

  17. Combination of clinical research methodology, biostatistics, and psychology • All of these areas of interest have an impact on clinical decision making

  18. Decision Analysis • An explicit process to understand a decision and make the best decision in the face of uncertainty.

  19. Decision Science Courses at SPHIS • Introduction to Medical Decision Making • Advanced Medical Decision Making • Decision Analysis (Speed School) • Utility Theory and Measurement • Cost-Effectiveness Analysis

  20. Links of Interest • Department of Bioinformatics and Biostatistics • http://louisville.edu/sphis/bb • American Statistical Association • http://www.amstat.org • Society for Medical Decision Making • www.smdm.org

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