TU-B-207B-00: Challenges in Radiomics and Big Data.

The general learning objectives are to get a better understanding of • The pitfalls along the radiomics/radiogenomics (imaging genomics) pipeline • The crucial role of statistics in the design and evaluation of radiomics/radiogenomics phenotypes and systems • The special challenges associated with big data 1. Introduction a. Basic statistical concepts b. Association, correlation, and causality c. Know when your numbers are significant 2. Reproducibility a. Replication studies i. The extent of the problem ii. Curse of dimensionality, overfitting, multiple hypothesis testing iii. Sample size, P-value variability 3. "Big Data" a. "Big data" vs. "medium data" vs. "small data" b. Training and testing data sets c. Harmonization KD receives royalties from Hologic.