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University of Louisville The Department of Bioinformatics and Biostatistics.

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1 University of Louisville The Department of Bioinformatics and Biostatistics

2 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 Faculty

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  Biostatistics7  Decision science 1 Ph.D.  Biostatistics15  Decision science1

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

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

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










18 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

19 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.

20 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

21 cDNA microarray Data: log (R / G)

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

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

24 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

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

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

27 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

28 Links of Interest Department of Bioinformatics and Biostatistics  American Statistical Association  Society for Medical Decision Making 

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