Research Resources Details
Description
The Biostatistics and Bioinformatics Facility is a shared, institutional resource for biostatistics and bioinformatics consulting and collaboration. We provide rigorous biostatistics and bioinformatics design, analysis and interpretation of experiments and studies, and also create new biostatistics and bioinformatics methods for specific research problems. Our members are broadly skilled in quantitative and computational methods for clinical trials, pre-clinical studies, biological experiments, translational investigations, and cancer prevention and control problems. We embrace new problems and technologies that surface in a rapidly changing scientific environment.
1. Statistical design for clinical trials, experiments and studies, including: sample size determination, randomization procedures, and plans for interim reviews and final analysis.
2. Biostatistical and bioinformatic analyses and assist in interpretation and presentation of results.
3. Develop quantitative analysis sections of research proposals and manuscripts.
4. Review, with the Research Review Committee, the integrity and statistical validity of clinical investigations.
5. Maintain a library of statistical and bioinformatic software and support the FCCC high-performance cluster for computationally intense analyses.
6. When appropriate, develop specialized biostatistics and bioinformatics methods needed to support Cancer Center projects.
7. Provide educational opportunities in biostatistics and bioinformatics for investigators, trainees and staff.
This facility derives partial funding from the FCCC Cancer Center Support Grant (CCSG) from the National Cancer Institute..
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A fortune cookie problem: A test for nominal data whether two samples are from the same population of equally likely elements
Gou, J., Ruth, K., Basickes, S. & Litwin, S., 2024, In: Communications in Statistics - Theory and Methods. 53, 9, p. 3063-3077 15 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Analysis of survival data with nonproportional hazards: A comparison of propensity-score-weighted methods
Handorf, E. A., Smaldone, M. C., Movva, S. & Mitra, N., Jan 2024, In: Biometrical Journal. 66, 1, p. e202200099 202200099.Research output: Contribution to journal › Article › peer-review
Open Access4 Scopus citations -
Attitudes about the Human Papillomavirus Vaccine among Patients with and Without Cervical Dysplasia
Swiecki-Sikora, A. L., Lauder, A., Harris, A., Tagai, E. K., Deng, M., Jeronis, S. L., Houck, K. L., Miller, S. M. & Hernandez, E., Jan 1 2024, In: Journal of Lower Genital Tract Disease. 28, 1, p. 18-25 8 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations