Counterfactual prediction methods are required when a model will be depl...
We consider the estimation of measures of model performance in a target
...
We discuss generalizability analyses under a partially nested trial desi...
Observational studies of recurrent event rates are common in biomedical
...
The rich longitudinal individual level data available from electronic he...
When individuals participating in a randomized trial differ with respect...
Causally interpretable meta-analysis combines information from a collect...
Background: When planning a cluster randomized trial, evaluators often h...
A randomized trial and an analysis of observational data designed to emu...
We describe methods that extend (generalize or transport) causal inferen...
Epidemiologists and applied statisticians often believe that relative ef...
N-of-1 trials, single participant trials in which multiple treatments ar...
Methods for extending – generalizing or transporting – inferences from a...
Methods for extending – generalizing or transporting – inferences from a...
In multicenter randomized trials, when effect modifiers have a different...
We consider methods for transporting a prediction model and assessing it...
We propose Causal Interaction Trees for identifying subgroups of partici...
We present methods for causally interpretable meta-analyses that combine...
We take steps towards causally interpretable meta-analysis by describing...
To generalize inferences from a randomized trial to the target populatio...
To generalize inferences from a randomized trial to the target populatio...