23 citations · 31 across the 11 of their papers we have counts for
8 papers · 1 filter
Confidence Regions for Multiple Outcomes, Effect Modifiers, and Other Multiple Comparisons
Paul N Zivich, Stephen R Cole, Noah Greifer +3
In epidemiology, some have argued that multiple comparison corrections are not necessary as there is rarely interest in the universal null hypothesis. From a parameter estimation p…
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…
Finite sample performance of optimal treatment rule estimators with right-censored outcomes
Michael Jetsupphasuk, Michael G. Hudgens, Jessie K. Edwards +1
Patient care may be improved by recommending treatments based on patient characteristics when there is treatment effect heterogeneity. Recently, there has been a great deal of atte…
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…
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…