por Lin-Chieh Meng
In this episode, we bring in an AI notebook LM to help us generate a more detailed and structured walkthrough of sequential target trial emulation. We focus on time zero, immortal time bias, selection bias, and why timing choices shape the causal question itself. This episode goes one step further into the logic of study design, showing that timing is not just a detail but a core part of causal reasoning.
What happens when treatment can start at different times? In this episode, we break down sequential target trial emulation in a simple and intuitive way. Using aspirin in pregnancy as an example, we explore why timing matters, how bias can sneak in, and why choices like time zero and interval length are more important than they seem.