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10/24/2022
Post-clustering difference testing: valid inference and practical considerations
Clustering is part of unsupervised analysis methods that consist in grou...
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06/20/2022
How to improve the quality of comparisons using external control cohorts in single-arm clinical trials?
PURPOSE Providing rapid answers and early acces to patients to innovativ...
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09/02/2021
Evaluating the Use of Generalized Dynamic Weighted Ordinary Least Squares for Individualized HIV Treatment Strategies
Dynamic treatment regimes (DTR) are a statistical paradigm in precision ...
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02/23/2021
Parameter estimation in nonlinear mixed effect models based on ordinary differential equations: an optimal control approach
We present a parameter estimation method for nonlinear mixed effect mode...
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10/09/2020
EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological Models
Epidemiologists model the dynamics of epidemics in order to propose cont...
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06/04/2019
Fréchet random forests
Random forests are a statistical learning method widely used in many are...
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01/31/2019
Random forests for high-dimensional longitudinal data
Random forests is a state-of-the-art supervised machine learning method ...
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01/14/2019
Supervised Learning for Multi-Block Incomplete Data
In the supervised high dimensional settings with a large number of varia...
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02/14/2017