https://osu.zoom.us/j/98005183244?pwd=RWk2aG1yeEZ3S2hBTXFUVVpzSEs5Zz09
Title: Ten best kept secrets in statistics
Abstract: Statistical practice is obviously very important, but it sadly lags far behind theoretical advancements. A top 10 list of widely applicable statistical techniques is provided. While some, such as the Holm adjustment for multiple comparisons, have received high citations already, it should be much more widely known and used, as it completely outperforms the more universally known Bonferroni adjustment. Arguments are presented for the other 9 improvements as well, in the hope that the statistical practice pattern of the attendees will be altered where these tools have heretofore remained a secret.
Dr. Schell has led the development of a statistical method to analyze AQUA (Automated Quantitative Analysis)-generated tissue microarray (TMA) data. The method is a 7-step procedure which works quite well for identifying and resolving technical problems when two highly correlated variables are available. This method provides a practical and efficient way of identifying an appropriate transformation (square-root, quarter-root or log), if needed, of AQUA scores that can be used to satisfy the normality assumption required by most of statistical procedures. This methodology identifies and adjusts for possible row or column spatial bias effects in a 20 x 17 rectangular plate used in the AQUA machine, which arise due to technical processing effects. The method facilitates the identification of possible outliers or leverage data points in the data due to, for instance, air bubbles. Dr. Schell is a member of the Cancer Biomarkers Study Section. He is also the statistician for a large integral-biomarker phase III multi-center clinical trial in lung cancer.