Barry
Senior Member (Voting Rights)
Many thanks for that @Jonathan Edwards.Null comparator is my do-it-yourself term, for which I apologise. However, I am not sure that there is an official term and there should be. It is an indication of how much one learns from these discussions that I only really got the idea of the difference myself while thinking about the PACE problems.
As an example: I used to stain tissues with fluorescence-tagged antibodies to tissue proteins that under a fluorescence microscope showed exactly where the protein was with a beautiful green line or red blob (technically known as immunohistochemistry). A null comparator would be to look at a section without adding any antibody. And that was important because it turns out that some parts of tissues fluoresce without even putting any stain on. But if we were not sure that our fluorescent antibody was reliably specific for what we were looking for we would compare it with using other fluorescent antibodies that should give other patterns or no pattern because they were directed against other proteins or nothing relevant (often called an 'isotype control'; you used an antibody of the same isotype family to make sure that if there was non-specific binding you would get it with both).
So a control in science is a comparator (comparison with something else) that allows you to exclude the possibility that your test result is due to a non-specific aspect of the experiment. A null comparator is the simplest comparator where you are comparing with doing nothing. So the standard medical care in PACE is a null comparator. An adequate control would be a 'fake' therapy delivered by an enthusiastic fake therapy therapist with all the extra messages that went with CBT or GET. In simple terms a 'placebo' is by implication a control, whereas waiting list is a null comparator. There is a world of difference, which is why we have placebo controlled trials.
In my efforts to better understand:-
I guess the intervention outcomes unavoidably incorporate effects from all aspects of the intervention, including some you are not trying to measure, but you cannot discriminate between. So the controls, as best you can manage, give you outcomes due to the intervention facets you are trying to discriminate from. Then you can look at the difference.
I think you are also saying there will be some things that are not part of the intervention at all, but nonetheless can have an effect. They may be obvious things such as a standard treatment that can/must not be denied to patients, and/or may be things not at all obvious, but must not be presumed non-existent. So the notion of a null comparator allows these non-intervention influences to be measured and then nulled out of the results.
There is also the issue of random noise, which I imagine is what the statistical significance is there to deal with.
So with PACE, where (I think this is the case) they considered standard care to be their control arm, it wasn't necessarily so because it was not part of the intervention being evaluated. But the aspects of the intervention that should have had controls to discriminate what caused what ... was not really addressed.
But I'm not entirely sure I haven't got the wrong end of the stick here ...