output
20072025
most citedMixed models for longitudinal left-censored repeated measures

106 citations

5 papers

stat.AP2025

How can methods for classifying and clustering trajectories be used for prevention trials? An example in Alzheimer's disease area

Céline Bougel, Sébastien Déjean, Caroline Giulioli +3

Background: Clinical trials are designed to prove the efficacy of an intervention by means of model-based approaches involving parametric hypothesis testing. Issues arise when no e…

stat.ME2023★ 1 cited

Causal thinking for decision making on Electronic Health Records: why and how

Matthieu Doutreligne, Tristan Struja, Judith Abecassis +3

Accurate predictions, as with machine learning, may not suffice to provide optimal healthcare for every patient. Indeed, prediction can be driven by shortcuts in the data, such as…

stat.ML2023★ 3 cited

How to select predictive models for causal inference?

Matthieu Doutreligne, Gaël Varoquaux

As predictive models -- e.g., from machine learning -- give likely outcomes, they may be used to reason on the effect of an intervention, a causal-inference task. The increasing co…

cs.DM2022★ 3 cited

Geometrical Penrose Tilings are characterized by their 1-atlas

Thomas Fernique, Victor Lutfalla

Rhombus Penrose tilings are tilings of the plane by two decorated rhombi such that the decoration match at the junction between two tiles (like in a jigsaw puzzle). In dynamical te…

stat.AP2007★ 106 cited

Mixed models for longitudinal left-censored repeated measures

Rodolphe Thiébaut, Hélène Jacqmin-Gadda

Longitudinal studies could be complicated by left-censored repeated measures. For example, in Human Immunodeficiency Virus infection, there is a detection limit of the assay used t…