60 citations · 306 across the 40 of their papers we have counts for
45 papers
Causal mediation analysis with one or multiple mediators: a comparative study
Judith Abécassis, Houssam Zenati, Sami Boumaïza +2
Mediation analysis breaks down the causal effect of a treatment on an outcome into an indirect effect, acting through a third group of variables called mediators, and a direct effe…
Variable importance for causal forests: breaking down the heterogeneity of treatment effects
Clément Bénard, Julie Josse
Causal random forests provide efficient estimates of heterogeneous treatment effects. However, forest algorithms are also well-known for their black-box nature, and therefore, do n…
Conformal Prediction with Missing Values
Margaux Zaffran, Aymeric Dieuleveut, Julie Josse +1
Conformal prediction is a theoretically grounded framework for constructing predictive intervals. We study conformal prediction with missing values in the covariates -- a setting t…
Risk ratio, odds ratio, risk difference... Which causal measure is easier to generalize?
Bénédicte Colnet, Julie Josse, Gaël Varoquaux +1
There are many measures to report so-called treatment or causal effects: absolute difference, ratio, odds ratio, number needed to treat, and so on. The choice of a measure, e.g. ab…
Efficient and robust transfer learning of optimal individualized treatment regimes with right-censored survival data
Pan Zhao, Julie Josse, Shu Yang
An individualized treatment regime (ITR) is a decision rule that assigns treatments based on patients' characteristics. The value function of an ITR is the expected outcome in a co…
Reweighting the RCT for generalization: finite sample error and variable selection
Bénédicte Colnet, Julie Josse, Gaël Varoquaux +1
Randomized Controlled Trials (RCTs) may suffer from limited scope. In particular, samples may be unrepresentative: some RCTs over- or under- sample individuals with certain charact…