why choose us

🌐 Go to WebHealthNetwork.com
Go to Consumers Chat

Course: Target Trial Emulation: A Framework for Causal Inference From Observational Data

CME Credits: 1.00

Released: 2022-12-12

Quantifying the effect of a treatment on a clinical outcome—causal inference—requires the comparison of outcomes under different courses of action. For example, to quantify the effect of tocilizumab on mortality in critically ill patients with COVID-19, the mortality risk could be compared between a group of patients administered tocilizumab and a group who are not. Ideally, eligible patients would be assigned to these groups at random. The key advantage of such a randomized trial is that both groups are expected to be comparable, and thus any differences in mortality can be attributed to tocilizumab rather than to prognostic differences between the groups.


To identify the key insights or developments described in this article


View Full Course