Biostatistical Service
Biostatistical services are designed to:
- Assist with experimental designs to maximize efficiency, increase interpretability and generalizability, and provide valid and accurate study assessments, invoking adjustments for multiple testing and controlling false discovery rates.
- Provide education regarding the meaning and importance of sample size and statistical power issues, particularly in the context of genomics-based basic science as well as clinical trial projects.
- Review grant applications and IRB applications for study design and data analysis.
- Conduct appropriate statistical analyses including but not limited to: descriptive analyses, t-test, chi-square and Fisher's exact test, ANOVA, non-parametric tests, odds-ratios, confidence intervals, survival analysis, regression modeling, etc.
- Applications of novel and state-of-art population and statistical genetic models for detecting genetic as well as environmental/lifestyle effects as well as their interactions on complex phenotypes, and for testing genotype dependency of treatment/therapeutic outcomes.
- Use cutting-edge censoring methods that allow for early termination of experiments when sufficient evidence for effects is demonstrated or extension of experiments when results are similar but studying a reasonable number of additional subjects has the potential to identify significant differences.
Personnel
Ranajit Chakroborty, PhD
558-4925
ranajit.chakraborty@uc.edu
Marepalli Rao, PhD
558-3602
marepalli.rao@uc.edu
Pricing
Digestive Disease Projects (except industry sponsored)
First 2 hours are free per member per fiscal year of the DHC grant.
$25/ hour for 3-20 hours
$50/ hour for over 20 hours
Industry Projects
First hour is free per member per fiscal year of the DHC grant.
After first hour $300/ hour
Please fill out the Service Request Form (in Excel format) and submit it to Ranajit Chakroborty, PhD.
Remember to identify the DHC (P30 DK078392) in all publications resulting from core supported work.
Last updated: May 21, 2008
