American Statistical Association
Recent advances in genomics profiling technologies offer a plethora of molecular data to discover potential biomarkers for cancer diagnosis and treatment. Finding molecular biomarkers that are accurate and reproducible the needles in a haystack remains a challenging task. A major source of the challenge comes from the non-biological effects (NBE) resulted from the experimental process. Careful study planning and experimental design are needed to reduce the level of NBE and mitigate their negative impact on biomarker discovery. In this simulation study, we examined the effects of a number of statistical design elements on the accuracy and reproducibility of molecular biomarker detection.
|Date:||Wednesday, October 9, 2013|
|Time:||4:00 - 5:00 P.M.|
Memorial Sloan-Kettering Cancer Center
Department of Epidemiology and Biostatistics
307 East 63rd Street
(between First and Second Avenues)
3rd Floor Conference Room
New York, New York
Note: To gain access to the building, please follow the directions by the telephone in the foyer.