453 citations · 597 across the 7 of their papers we have counts for
8 papers
A Formal Causal Interpretation of the Case-Crossover Design
Zach Shahn, Miguel A. Hernan, James M. Robins
The case-crossover design (Maclure, 1991) is widely used in epidemiology and other fields to study causal effects of transient treatments on acute outcomes. However, its validity a…
gfoRmula: An R package for estimating effects of general time-varying treatment interventions via the parametric g-formula
Victoria Lin, Sean McGrath, Zilu Zhang +4
Researchers are often interested in using longitudinal data to estimate the causal effects of hypothetical time-varying treatment interventions on the mean or risk of a future outc…
Sensitivity analysis using bias functions for studies extending inferences from a randomized trial to a target population
Issa J. Dahabreh, James M. Robins, Sebastien J-P. A. Haneuse +4
Extending (generalizing or transporting) causal inferences from a randomized trial to a target population requires ``generalizability'' or ``transportability'' assumptions, which s…
Generalizing trial findings using nested trial designs with sub-sampling of non-randomized individuals
Issa J. Dahabreh, Miguel A. Hernan, Sarah E. Robertson +2
To generalize inferences from a randomized trial to the target population of all trial-eligible individuals, investigators can use nested trial designs, where the randomized indivi…
A causal framework for classical statistical estimands in failure time settings with competing events
Jessica G. Young, Mats J. Stensrud, Eric J. Tchetgen Tchetgen +1
In failure-time settings, a competing risk event is any event that makes it impossible for the event of interest to occur. For example, cardiovascular disease death is a competing…
Extending inferences from a randomized trial to a new target population
Issa J. Dahabreh, Sarah E. Robertson, Jon A. Steingrimsson +2
When treatment effect modifiers influence the decision to participate in a randomized trial, the average treatment effect in the population represented by the randomized individual…