Title: Predicting patient's response to the treatment based on high dimensional genetic data
Authors: Malgorzata Bogdan - Lund University (Sweden) [presenting]
Abstract: Several relatively new approaches will be discussed for identifying important predictors in large data bases. The common denominator of these methods is the goal of controlling the fraction of false discoveries among the selected predictors. We will present results concerning predictive properties of these methods and illustrate them with the simulation study concerning the prediction of patient's response to the treatment based on his/her genetic data.