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20242026
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5 papers · 1 filter

stat.ME2026

Estimating equations for causal survival analysis with pooled logistic regression

Paul N Zivich, Stephen R Cole, Bonnie E Shook-Sa +2

Background: Pooled logistic regression models are commonly applied in survival analysis. However, the standard implementation can be computationally demanding, which is further exa…

stat.ME2025

Assessing Vaccine Effectiveness in Observational Studies via Nested Trial Emulation

Justin B. DeMonte, Bonnie E. Shook-Sa, Michael G. Hudgens

Observational data are frequently used to evaluate real-world vaccine effectiveness (VE). For vaccines such as those developed against COVID-19, VE may vary over calendar time beca…

stat.ME2024

Double Robust Variance Estimation with Parametric Working Models

Bonnie E. Shook-Sa, Paul N. Zivich, Chanhwa Lee +5

Doubly robust estimators have gained popularity in the field of causal inference due to their ability to provide consistent point estimates when either an outcome or exposure model…

stat.ME2024

Empirical sandwich variance estimator for iterated conditional expectation g-computation

Paul N Zivich, Rachael K Ross, Bonnie E Shook-Sa +2

Iterated conditional expectation (ICE) g-computation is an estimation approach for addressing time-varying confounding for both longitudinal and time-to-event data. Unlike other g-…

stat.ME2024

Synthesis estimators for positivity violations with a continuous covariate

Paul N Zivich, Jessie K Edwards, Bonnie E Shook-Sa +3

Studies intended to estimate the effect of a treatment, like randomized trials, may not be sampled from the desired target population. To correct for this discrepancy, estimates ca…