453 citations · 597 across the 7 of their papers we have counts for
3 papers · 1 filter
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…
Data science is science's second chance to get causal inference right: A classification of data science tasks
Miguel A. Hernán, John Hsu, Brian Healy
Causal inference from observational data is the goal of many data analyses in the health and social sciences. However, academic statistics has often frowned upon data analyses with…