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AVII77

05/19/19 7:39 AM

#192194 RE: zz1 #191545

AVII : Question. Do you have a good reference/source which clearly states that subgroup analysis of a trial is essentially hypothesis generating if such endpoints were not pre-specified in the primary objectives of a trial.


Good morning ZZ, sorry for the late response, been very busy.

The reason subgroup analysis is "hypothesis generating" is because of "multiplicity".

If an intervention had no effect whatsoever (RRR=0%) and you looked at 10 subgroups, the chances of finding a significant result, by chance alone, is 40%. And that chance approaches 100% if you allow yourself to look at an infinite number of subgroups.

Consider the red line in the figure in this paper (really a "comment": The challenge of subgroup analyses--reporting without distorting

The "multiplicity" issue is obviously important if you want to discover the truth about an intervention. Not only is it the reason that post-hoc subgroups are "exploratory", it is also the reason why interim analysis are limited and pre-specified (the more interim analysis you perofrm the greater the chance you will observe a random high and stop in error. Note this error was controlled in R-IT by allocating some of the final p-value to each of the two interims).

There is nothing wrong with doing subgroup analysis, even un-pre-specified subgroup analysis. The issue is over-interpreting the results. Accepting a false positive as the "truth" is obviously a bad outcome.

Two quotes come to mind (and the first I've seen used in several FDA stat reviews)

"The first principle is that you must not fool yourself – and you are the easiest person to fool." - Richard Feynman

"What gets us into trouble is not what we don't know. It's what we know for sure that just ain't so." - Mark Twain

The very best discussion I've heard about this is offered by Tom Fleming. The link below is to a day long lecture on biostats and clinical trials. The relevant part to our discussion starts at minute 7 where he discusses the maternity ward example.

Key Topics in the Design, Conduct and Analysis of Clinical Trials: Tom Fleming

I'm a big "fan" of Dr. Fleming; not only is he a world renowned biostatician, he is also an educator. He explains this very complex stuff in an understandable way.