activity
20182026
most citedAssumption-lean inference for generalised linear model parameters

3 citations · 8 across the 10 of their papers we have counts for

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14 papers · 1 filter

stat.ME2026

Order Dependence in Regression by Composition: Discussion on "Regression by Composition'' by Farewell, Daniel, Stensrud, and Huitfeldt

Mei Dong, Linbo Wang, Lin Liu +1

We discuss the regression-by-composition framework of Farewell, Daniel, Stensrud and Huitfeldt, highlighting a key consequence of its sequential construction: order dependence. Reo…

stat.ME2026

Efficient estimation of cumulative incidence curves via data fusion with surrogates: application to integrated analysis of vaccine trial and immunobridging data

Pan Zhao, Peter B. Gilbert, Oliver Dukes +1

Refined vaccine regimens containing variant-matched inserts are often authorized based on historical phase 3 efficacy trials together with immunobridging studies. Phase 3 trials ar…

stat.ME2026

On estimands in target trial emulation

Edoardo Efrem Gervasoni, Liesbet De Bus, Stijn Vansteelandt +1

The target trial framework enables causal inference from longitudinal observational data by emulating randomized trials initiated at multiple time points. Precision is often improv…

stat.ME2025

Using causal diagrams to assess parallel trends in difference-in-differences studies

Audrey Renson, Oliver Dukes, Zach Shahn

Difference-in-differences (DID) is popular because it can allow for unmeasured confounding when the key assumption of parallel trends holds. However, there exists little guidance o…

stat.ME2024

Nonparametric tests of treatment effect homogeneity for policy-makers

Oliver Dukes, Mats J. Stensrud, Riccardo Brioschi +1

Recent work has focused on nonparametric estimation of conditional treatment effects, but inference has remained relatively unexplored. We propose a class of nonparametric tests fo…

stat.ME2024

Doubly-robust inference and optimality in structure-agnostic models with smoothness

Matteo Bonvini, Edward H. Kennedy, Oliver Dukes +1

We study the problem of constructing an estimator of the average treatment effect (ATE) with observational data. The celebrated doubly-robust, augmented-IPW (AIPW) estimator genera…