Recent & Upcoming Talks

2022

An interesting feature of Sliced Inverse Rregression (SIR) is that it allows the construction of indices, as linear combinations of the …

The imputation is the process that estimates the missing values. Simplest approaches impute to fixed values such as mean/median based …

The problem of missing data often occurs in data analysis. Missing values of the type MAR (Missing At Random) are cosidered here. Then, …

How can we deal with atypical observations in SIR regression. This can be generalized to any predictive model.

2021

A reflexion about missing data imputation in the supervised context, with a solution and simulation results.

In recent years, data analysis methods have had to deal with new type of heterogeneous data sets. Multi-omics studies are perfect …

Sliced inverse regression (SIR) focuses on the relationship between a dependent variable $y$ and a $p$-dimensional explanatory variable …

2019

The identification of novel biological factors associated with thrombin generation, a key biomarker of the coagulation process, remains …

Les récentes innovations techniques ont permis la production de données massives en biologie, comme les données omiques par exemple …

2018

This is the last update of the current project on dealing with missing samples in multi-block context for supervised datasets.

Several sets of variables can be analyzed simultaneously by canonical correlation in a multi-way analysis. These sets …

Several sets of variables can be analyzed simultaneously by canonical correlation in a multi-way analysis. These sets …

2016

Using the Meso Scale Discovery (MSD) V-PLEX 40 biomarker cytokine multiplex kit, the cytokine profiles of 108 HIV+ Zambian volunteers …