Causal Inference and Missing Data Group at Inria

Julie Josse’s Publications
Julie Josse’s Google Scholar

PhD Theses

• Bénédicte Colnet, 2020 - 2023, Generalizing a causal effect from a trial to a target population: methodological and theoretical contributions. Dissertation and slides.

• Imke Mayer, 2018 - 2021, Causal inference from heterogeneous data with missing data – Application to critical care management. Dissertation and slides.

• Aude Sportisse, 2018 - 2021, Handling heterogeneous and MNAR missing data in statistical learning frameworks: imputation based on low-rank models online linear regression with SGD, and model-based clustering. Dissertation and slides.

• Wei Jiang, 2017 - 2020, Statistical inference with incomplete and high-dimensional data - modeling polytraumatized patients. Dissertation and slides.

• Geneviève Robin, 2016 - 2019, Low-rank methods for heterogeneous and multi-source data. Dissertation and slides.

• Vincent Audigier, 2012 - 2015. Multiple imputation for mixed data. Slides