genuine question about TRIUMPH that I am slightly embarrassed to ask
Trying to get a straight answer on this: genuine question about TRIUMPH that I am slightly embarrassed to ask. Why comparing across trials almost never works, with the specific failure modes. Different populations: an obesity programme and a diabetes programme enrol different people with different baseline…
Open-label extensions lose their randomisation. Anybody still enrolled at week 104 is a selected group and the numbers describe that group.
What did the confidence interval look like?
the confidence interval is the finding, the point estimate is the headline
the confidence interval is the finding, the point estimate is the headline
Agreed. And the interval, not the point estimate, is what the trial actually established.
Correcting myself upthread: I gave the completer figure and labelled it intention-to-treat.
a mean is not a promise
trial populations get support that nobody on this board gets
Careful with that mean. The distribution around it was wide enough that it describes very few individual participants.
Started keeping the trial identifiers straight in a note file because I kept mixing up two programmes in the same sentence.