4 citations · 9 across the 5 of their papers we have counts for
6 papers
Transportability methods for failure-time outcomes under assumptions for relative effect measures
Sarah E Robertson, Lan Wen, Lawson Ung +2
In certain clinical areas, relative effect measures are believed to remain more constant across populations than absolute measures. This suggests that exchangeability assumptions o…
Using the target trial framework for combining information: external comparator analyses and other applications
Lawson Ung, Miguel A. Hernán, Issa J. Dahabreh
We describe how the target trial framework can be used to plan and report analyses that attempt to answer causal questions by combining information from multiple, diverse sources.…
Constructing external comparator groups via transportability in mean or in effect measure
Lawson Ung, Guanbo Wang, Sebastien Haneuse +3
Learning about causal effects in target populations and their subsets may be facilitated by combining information from multiple sources. One major class of study designs that combi…
The role of assignment in defining and identifying causal effects in randomized trials
Issa J. Dahabreh, Lawson Ung, Miguel A. Hernán +1
In randomized trials, the per-protocol effect, that is, the effect of being assigned a treatment strategy and receiving treatment according to the assigned strategy, is sometimes t…
Generalizing and transporting causal inferences from randomized trials in the presence of trial engagement effects
Lawson Ung, Tyler J. VanderWeele, Issa J. Dahabreh
Trial engagement effects are effects of trial participation on the outcome that are not mediated by treatment assignment. Most work on extending (generalizing or transporting) caus…
Identification strategies for combining an experimental study with external data
Lawson Ung, Guanbo Wang, Sebastien Haneuse +2
There is increasing interest in combining information from experimental studies, including randomized and single-group trials, with information from external experimental or observ…