Statistical Consulting Laboratory (SCL) Website: academics.utep/statlab

1. Statistical Consulting Laboratory (SCL)Website:http://academics.utep.edu/statlab Border Biomedical Research Center (BBRC)

2. SCL Personnel • Dr. Peter Moschopoulos (Core Director) • Dr. Joan Staniswalis • Dr. Ming-Ying Leung (Bioinformatics) • Dr. Ori Rosen • Dr. Naijun Sha • Dr. Julia Bader: (Full-Time Consultant) • Mr. Yash Dayal, M.S. (Network Manager) • Ms. Bonnie Smith (Administrative Secretary) Statistical Consulting Laboratory http://academics.utep.edu/statlab

3. Mission The mission of SCL is to provide statistical support to researchers in the BBRC and become a regional resource center for the statistical support of research in basic sciences, health sciences, education, medical sciences and other fields. Statistical Consulting Laboratory http://academics.utep.edu/statlab

4. BBRC Present Funding • Support for Personnel: • Statistician (Dr. Julia Bader) 12 months at 50% • SCL Director 1 summer month at 100% • Secretary: 12 months at 100% • Network Manager: 12 months at 30% • Resource Statistician 1 summer month at 100% • Equipment Upgrades • Upgrades of Sun workstations and PC Network • Travel, Materials, Supplies and Statistical Software Manuals • Other Direct Costs • Software licenses such as: SAS, S-plus, Current Index to Statistics, etc Statistical Consulting Laboratory http://academics.utep.edu/statlab

5. SCL Activities • The SCL provides statistical data analysis support to the BBRC participants. This includes help in design of experiments, power calculations and assistance in grant proposal preparation. • The SCL fosters collaborations between SCL statisticians and Researchers at UTEP who need statistics in their research. • The SCL offers fee-based Statistical Consulting. Statistical Consulting Laboratory http://academics.utep.edu/statlab

6. BBRC Consultations (2005-2006) • Dr. William Baldwin: Statistical support, including power calculations in preparation of a research proposal to NIH, and statistical analyses for two manuscripts. • Dr. Elizabeth Walsh: Statistical analyses for studies of rotifer palatability to invertebrates. • Dr. Renato Aguilera and Dr. Armando Valera: Collaboration on a study of HIV infection and risk behavior of Hispanic farm workers. • Dr. Sha and Dr. Zhang: Developed and taught (twice) a class of post – genomics analysis for the Bioinformatics Program. Statistical Consulting Laboratory http://academics.utep.edu/statlab

7. BBRC Consultations(2005-2006) • Dr. Joanne Ellzey: Statistical analyses for two related arsenic studies on mice. • Drs. Das, Sha and Bader: Experimental design, sample sizes and statistical analysis on a microarray study on colon cancer. • Dr. Zhang, Dr. Sha, Dr. Bader: Study of auto antibodies in liver cancer patients. Funded by the Center for Border Health Research; also an NIH proposal on identifying novel cancer-related antibody-antigens in lung cancer study. Statistical Consulting Laboratory http://academics.utep.edu/statlab

8. About Power of Tests • Very General Setting: The researcher tests a claim that in fact is true or false, e.g. that cancer is present. This claim is to be rejected or retained on the evidence of data. There are two types of errors made, Type-I and Type-II . • Type-I - Probability of rejecting the claim/claim is true • Type-II - Probability of accepting claim/claim is false Usually we control Type-I at .01 or .05. Type-II depends on the sample sizes. We choose the sample sizes so that Type-II is minimized. Power = 1 – Type-II = Probability of rejecting the claim when it is in fact false. Usually we require power of 80% or higher and calculate the sample sizes to achieve it according to the wishes of the investigator. Statistical Consulting Laboratory http://academics.utep.edu/statlab

9. Example: Sample size for each group for a t-test for the difference in means (Treated versus Control), testing mean difference = 0 (versus ≠ 0 (two-sided) or versus > 0 (one-sided)), alternative mean difference = minimum difference, α = 0.05 and 80% power with varying effect size (minimum difference)/(standard deviation). Statistical Consulting Laboratory http://academics.utep.edu/statlab

10. Dr. William Baldwin (Power Calculations) • Sample size justification for proposal with mice and human cell lines, response variable is the induction rate • Sample power table for repeated measures design for comparing 3 groups (1 (Control), 2, 3) for human hepatocyte cell lines Statistical Consulting Laboratory http://academics.utep.edu/statlab

11. Dr. Liz Walsh Study of Rotifer Palatability to Invertebrates • 3 factor feeding study • Predator • Control (None) • Damselfly Nymph • Dragonfly Nymph • Hydra • Time • 0 hours • 12 hours • 18 hours • 24 hours • Prey • Colonies • E. senta • Response variable as the percent surviving out of 5 • Repeated measures over time, using the General Linear Mixed Model analysis showed predator*time*prey interaction significant (p = 0.0029), with Tukey post hoc procedure for comparison of means Statistical Consulting Laboratory http://academics.utep.edu/statlab

12. Present Clients (2005) • WBAMC continuing since Oct. 1, 2003 • Dr. Arthur Blume, UTEP Promoting Health Parity among Mexican-American Women funded by NIH. • Center for Institutional Evaluation, Research and Planning (CIERP). • College of Health Sciences (all grants) • Center for Border Health Research (reviewing grant proposals) • Various UTEP and Off-Campus Researchers Statistical Consulting Laboratory http://academics.utep.edu/statlab

13. Goals • Continue support for BBRC, increase participation in grant proposals. • Participate in design of experiments with animals in the new research facility. • Increase visibility of SCL across UTEP and the Border Region. (brochure preparation underway, website ready, marketing strategies considered, NIH competitive grant application, CO-PI with Dr. Ibarra, College of Health Sciences). • Continue with current projects, WBAMC, CIERP, College of Health Sciences and CBHR support of grant proposals. Statistical Consulting Laboratory http://academics.utep.edu/statlab

14. Questions? Statistical Consulting Laboratory http://academics.utep.edu/statlab