4 papers
On treating right-censoring events like treatments
Lan Wen, Aaron L. Sarvet, Jessica G. Young
In causal inference literature, potential outcomes are often indexed by the "elimination of all right-censoring events," leading to the perception that such a restriction is necess…
Estimating average treatment effects when treatment data are absent in a target study
Lan Wen, Aaron L Sarvet
Researchers are frequently interested in understanding the causal effect of treatment interventions. However, in some cases, the treatment of interest--readily available in a rando…
Interpretational errors with instrumental variables
Luca Locher, Mats J. Stensrud, Aaron L. Sarvet
Instrumental variables (IV) are often used to identify causal effects in observational settings and experiments subject to non-compliance. Under canonical assumptions, IVs allow us…
Encoding and inference on separable effects for sustained treatments
Ignacio Gonzalez-Perez, Kerollos Nashat Wanis, Aaron Leor Sarvet +1
Sustained treatment strategies are common in many domains, particularly in medicine, where many treatment are delivered repeatedly over time. The effects of adherence to a treatmen…