23 citations · 44 across the 14 of their papers we have counts for
6 papers · 1 filter
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…
The Metropolis algorithm: A useful tool for epidemiologists
Alexander P Keil, Jessie K Edwards, Ashley I Naimi +1
The Metropolis algorithm is a Markov chain Monte Carlo (MCMC) algorithm used to simulate from parameter distributions of interest, such as generalized linear model parameters. The…
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-…
A Causal Inference Framework for Leveraging External Controls in Hybrid Trials
Michael Valancius, Herb Pang, Jiawen Zhu +3
We consider the challenges associated with causal inference in settings where data from a randomized trial is augmented with control data from an external source to improve efficie…
Fusing Trial Data for Treatment Comparisons: Single versus Multi-Span Bridging
Bonnie E. Shook-Sa, Paul N. Zivich, Samuel P. Rosin +4
While randomized controlled trials (RCTs) are critical for establishing the efficacy of new therapies, there are limitations regarding what comparisons can be made directly from tr…
Transportability without positivity: a synthesis of statistical and simulation modeling
Paul N Zivich, Jessie K Edwards, Eric T Lofgren +3
When estimating an effect of an action with a randomized or observational study, that study is often not a random sample of the desired target population. Instead, estimates from t…