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What to do when you're analysing data arising from a Randomised Controllled Trial (RCT) and you have noncompliance in the treatment group?
A thread on Complier Average Causal Effect (CACE) modeling... /1
#Stata #RCT #CACE #gsem
A thread on Complier Average Causal Effect (CACE) modeling... /1
#Stata #RCT #CACE #gsem
In RCTs, we compare the outcome in the treatment and the control group. When everyone in the treatment receives the treatment in full or (comply), trial arm assignment is enough to estimate the effect of the intervention. We call this "intention-to-treat" (ITT). /2
The problem is that some participants may not receive the treatment in full or comply with all the requirements of the intervention itself. This produces bias in the ITT estimate, "diluting" the effect of the intervention, which is why we need to account for noncompliance. /3
