177 citations · 197 across the 9 of their papers we have counts for
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stat.AP2023
A simple Bayesian model to estimate proportions and ratios from count data with a hierarchical error structure with an application to droplet digital PCR experiments
Elyas Mouhou, Vincent Audigier, Josselin Noirel
Experimental designs with hierarchically-structured errors are pervasive in many biomedical areas; it is important to take into account this hierarchical architecture in order to a…
stat.AP2013★ 14 cited
A principal components method to impute missing values for mixed data
Vincent Audigier, François Husson, Julie Josse
We propose a new method to impute missing values in mixed datasets. It is based on a principal components method, the factorial analysis for mixed data, which balances the influenc…