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20182026
most citedDemystifying statistical learning based on efficient influence functions

92 citations · 110 across the 23 of their papers we have counts for

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Showing 2026Show all

6 papers · 1 filter

stat.ME2026

Difference-in-Differences for Heterogeneous Effects of General Treatment Strategies Accounting for Time-Varying Covariates

Oliver Dukes, Zach Shahn, James Robins +1

We introduce a class of marginal Structural Nested Mean Models (mSNMMs) that enable modeling time-varying effect modification by a subset of covariates required as adjustment varia…

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.OT2026

A Parameter-Centric View on Regression

Jingxin Yan, Lin Liu, Oliver Dukes +2

Discussion on ``Regression by Composition'' by Farewell, Daniel, Stensrud, and Huitfeldt

stat.OT2026

Toward Variation-Independent Regression by Composition

Ruixuan Zhao, Oliver Dukes, Linbo Wang +1

Discussion on "Regression by Composition" by Farewell, Daniel, Stensrud, and Huitfeldt.

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…