2 citations · 2 across the 1 of their papers we have counts for
5 papers
Post-clustering difference testing: valid inference and practical considerations
Benjamin Hivert, Denis Agniel, Rodolphe Thiébaut +1
Clustering is part of unsupervised analysis methods that consist in grouping samples into homogeneous and separate subgroups of observations also called clusters. To interpret the…
Evaluating the Use of Generalized Dynamic Weighted Ordinary Least Squares for Individualized HIV Treatment Strategies
Larry Dong, Erica E. M. Moodie, Laura Villain +1
Dynamic treatment regimes (DTR) are a statistical paradigm in precision medicine which aim to optimize patient outcomes by individualizing treatments. At its simplest, a DTR may re…
Parameter estimation in nonlinear mixed effect models based on ordinary differential equations: an optimal control approach
Quentin Clairon, Chloé Pasin, Irene Balelli +2
We present a parameter estimation method for nonlinear mixed effect models based on ordinary differential equations (NLME-ODEs). The method presented here aims at regularizing the…
Random forests for high-dimensional longitudinal data
Louis Capitaine, Robin Genuer, Rodolphe Thiébaut
Random forests is a state-of-the-art supervised machine learning method which behaves well in high-dimensional settings although some limitations may happen when , the number of…
Modeling CD4+ T cells dynamics in HIV-infected patients receiving repeated cycles of exogenous Interleukin 7
Ana Jarne, Daniel Commenges, Mélanie Prague +2
Combination Antiretroviral Therapy (cART) succeeds to control viral replication in most HIV infected patients. This is normally followed by a reconstitution of the CD4 T cells…