University of Louisville

The Department of Bioinformatics and

Biostatistics

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

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

Current Degree Programs

Students MPH 2 MS

Biostatistics 7 Decision science 1

Ph.D. Biostatistics 15 Decision science 1

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

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

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

Salaries for Ph.D. Biostatisticians Beginning Faculty Careers

(1-3 years experience) 25th percentile: $ 82,400 50th percentile: $ 85,000 75th percentile: $90,000

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

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.

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

cDNA microarray

Data: log (R / G)

Analyzing Microarray Data:

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

Biological questionDifferentially expressed genesSample 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)

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

Combination of clinical research methodology, biostatistics, and psychology

All of these areas of interest have an impact on clinical decision making

Decision Analysis An explicit process to understand

a decision and make the best decision in the face of uncertainty.

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

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