Researchers conducting randomised controlled trials (RCTs) of complex interventions face design and analytical challenges that are not fully addressed in existing guidelines. Further guidance is ...

In data science, you often want to measure the impact of a treatment, such as a new feature, a policy change, or a medical intervention, on an outcome, such as user behavior, social welfare, or ...

For example, informative censoring is a serious issue in clinical trials of advanced diseases, 14 but DAGs can examine the potential of selection bias. 15 In the context of external controlled trials, ...

Let’s Take the Con Out of Randomized Control Trials in Development: ... (or from a small set of studies identified as rigorous in a “systematic” review) ... in that it is impossible to reconcile ...

Recent clinical trials in oncology have used increasingly complex methodologies, such as causal inference methods for intercurrent events, external control, and covariate adjustment, posing challenges ...