23 citations · 41 across the 14 of their papers we have counts for
5 papers · 1 filter
Transporting summary measures of relative effects from randomised trials to the treated patient population: an application to breast cancer endocrine therapy
Bonnie E. Shook-Sa, Paul N. Zivich, Carolyn Taylor +4
Randomised trials often report relative treatment effects, such as risk ratios and hazard ratios, for trial populations. Clinical decision-making, however, often benefits from esti…
Accounting for Missing Data in Public Health Research Using a Synthesis of Statistical and Mathematical Models
Paul N Zivich, Bonnie E Shook-Sa, Stephen R Cole +2
Introduction: Accounting for missing data by imputing or weighting conditional on covariates relies on the variable with missingness being observed at least some of the time for al…
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…
Estimating SARS-CoV-2 Seroprevalence
Samuel P. Rosin, Bonnie E. Shook-Sa, Stephen R. Cole +1
Governments and public health authorities use seroprevalence studies to guide responses to the COVID-19 pandemic. Seroprevalence surveys estimate the proportion of individuals who…
Power and Sample Size for Marginal Structural Models
Bonnie E. Shook-Sa, Michael G. Hudgens
Marginal structural models fit via inverse probability of treatment weighting are commonly used to control for confounding when estimating causal effects from observational data. W…