Colloquium
- Home
- About
- Academics
- Courses
- Undergraduate
- Graduate
- Alumni
- Career Guidance
- Giving
- Research
- Resources
- Stat Consulting Center
- Directory
- Contact Us
Statistics Colloquium
February 16 Friday, 11 a.m.
Alavi Commons Room, 6625 Everett Tower
Laila M Poisson, PhD
Associate Scientist in Biostatistics
Department of Public Health Sciences
Henry Ford Health System, Detroit MI
Abstract:
For a decade The Cancer Genome Atlas (TCGA) program collected considerable clinic-pathologic annotation data in association with multi-platform molecular profiles of >11,000 human tumors across 33 different tumor types. These data are available to researchers through direct download or multiple research interfaces. Yet, to translate molecular profiles into clinical action, it is necessary to determine their relationship to clinical features and outcomes. This talk will focus on the recent work a team of clinicians and data analysts who have developed a standardized dataset named the TCGA Pan-Cancer Clinical Data Resource (TCGA-CDR)*.
After resolution of over 1000 data issues, four standard clinical outcomes endpoints were transparently derived. Usage recommendations for each endpoint and cancer type were also provided. While analytical challenges remain for those using these data, we expect that this standardized data resource will improve interpretability and reproducibility of molecular-clinical studies going forward.
* Liu J, Lichtenberg T, Hoadley KA, Poisson LM, Lazar AJ, Cherniack A, Kovatich AJ, Benz CB, Levine D, Lee AV, Omberg L, Wolf DM, Shriver CD, Thorsson V, The Cancer Genome Atlas Research Network, and Hu H. An Integrated TCGA Pan-Cancer Clinical Data Resource (TCGA-CDR) to drive high quality survival outcome analytics (In press).
---
All statistics graduate students are expected to attend.