activity
20052024
most citedEstimating high-dimensional intervention effects from observational data

329 citations · 1.2k across the 27 of their papers we have counts for

collaborators

32 papers

stat.ME2024

Root cause discovery via permutations and Cholesky decomposition

Jinzhou Li, Benjamin B. Chu, Ines F. Scheller +2

This work is motivated by the following problem: Can we identify the disease-causing gene in a patient affected by a monogenic disorder? This problem is an instance of root cause d…

stat.ME2023

A Graphical Approach to Treatment Effect Estimation with Observational Network Data

Meta-Lina Spohn, Leonard Henckel, Marloes H. Maathuis

We propose an easy-to-use adjustment estimator for the effect of a treatment based on observational data from a single (social) network of units. The approach allows for interactio…

stat.ME2022★ 3 cited

Simultaneous false discovery proportion bounds via knockoffs and closed testing

Jinzhou Li, Marloes H. Maathuis, Jelle J. Goeman

We propose new methods to obtain simultaneous false discovery proportion bounds for knockoff-based approaches. We first investigate an approach based on Janson and Su's -familyw…

stat.ME2021

Estimation and Inference of Extremal Quantile Treatment Effects for Heavy-Tailed Distributions

David Deuber, Jinzhou Li, Sebastian Engelke +1

Causal inference for extreme events has many potential applications in fields such as climate science, medicine and economics. We study the extremal quantile treatment effect of a…

stat.ME2021★ 2 cited

Profiling Compliers in Instrumental Variables Designs

Dominik Hangartner, Moritz Marbach, Leonard Henckel +3

Instrumental variable (IV) analyses are becoming common in health services research and epidemiology. IV analyses can be used both to analyze randomized trials with noncompliance a…

stat.ME2020

Evaluation of Causal Structure Learning Algorithms via Risk Estimation

Marco F. Eigenmann, Sach Mukherjee, Marloes H. Maathuis

Recent years have seen many advances in methods for causal structure learning from data. The empirical assessment of such methods, however, is much less developed. Motivated by thi…