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…
Estimating Average Causal Effects with Incomplete Exposure and Confounders
Lan Wen, Glen McGee
Standard methods for estimating average causal effects require complete observations of the exposure and confounders. In observational studies, however, missing data are ubiquitous…
Interpretational errors in statistical causal inference
Aaron L. Sarvet, Mats J. Stensrud, Lan Wen
We formalize an interpretational error that is common in statistical causal inference, termed identity slippage. This formalism is used to describe historically-recognized fallacie…