WORKSHOP by Samantha Cambier (International Drug Development Institute - IDDI) : "Les rôles du statisticien dans les essais cliniques: focus sur les iDMCs" Résumé: Les essais cliniques se déroulent généralement sur une longue période.

Communicating with and about data is one of the core activities of practical statistics. In this talk, I shall present examples and theory about efficient and inefficient display of data in form of graphs and tables. Participants will learn a systematic approach for discussing and improving of data visualizations. This is a variation of a slowly evolving annual talk.

Dr Robin Van Oirbeek (DKV, Prof. invité UCLouvain) will give a presentation on “The concordance probability in all its shapes and forms”

 Dr Laura Symul (Stanford University) will give a presentation on “Statistical tools for modeling women physiology - Topic models identify sub-communities in human vaginal microbiota”

Dr Bernard Francq (GSK, Prof. invité UMons et UCLouvain) “Tolerance Intervals in Non-Clinical Biostatistics: Past, Present and Future”    

Applied statistics workshop on "The role of a statistician in pharmaceutical industries in supporting Health Technology Assessment (HTA)" by Celine Le Bailly de Tilleghem (MSD Belgium & Luxembourg) Abstract: In the last 10 years, Health Technology Assessment (HTA) has increased in importance in supporting payer decision making by assessing the relative effectiveness and cost effe

Applied statistics workshop on "Bayesian Optimal Interval Design (BOIN) in phase I dose escalation clinical trials" by Alexandre Lambert (Qubes) Abstract: In most phase I clinical trials, one of the objectives is to find the maximum tolerated dose  of a new drug. A dose escalation approach is typically followed with dose escalation decisions based on observed toxicities.

Statistics Seminar on "Statistical point process models for spike-trains obtained from grid cells" Abstract: The growing complexity of experiments in biology requires appropriate data analysis methods for establishing how firmly certain biological functions can be identified from the data.

Statistics Seminar on "Rank and Factor Loadings Estimation in Time Series Tensor Factor Model by Pre-averaging" Abstract: As a major dimension reduction tool, the idiosyncratic components of a tensor time series factor model can exhibit serial correlations, especially in financial and economic applications.

Statistics Seminar on "Image classification: A (new) statistical viewpoint" Abstract : In this talk we consider a simple supervised classification problem for object recognition on grayscale images. There are two possible perspectives to solve this problem. Firstly, one can interpret object recognition as a high-dimensional classification problem, where every pixel is a variable.