6 citations · 6 across the 2 of their papers we have counts for
4 papers · 1 filter
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…