Author

Z. Shahn

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Preprint Oct 2026

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

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 variables. We focus on identifiability and estimation under conditional parallel trends assumptions, so mSNMMs are applicable in settings where t...

O. Dukes, Z. Shahn, James M. Robins et al. · 0 citations

Preprint Aug 2026

As Good as it Gets: Bounds for Oracle Time-Varying Treatment Strategies

Much causal inference research is focused on methods for optimizing dynamic treatment regimes (Murphy, 2003; Robins, 2004; Schulte et al., 2015), which are rules for deciding which treatments should be assigned and when based on evolving history. There is a certain optimism underlying this endeavor that with enough tin...

Z. Shahn · 0 citations