September 21, 2017

Best sample size calculation ever!

I don't want to start obsessing about sample size calculations, because most of the time they're pretty pointless and irrelevant, but I came across a great one recently.

My award for least logical sample size calculation goes to Mitesh Patel et al, Intratympanic methylprednisolone versus gentamicin in patients with unilateral Meniere's disease: a randomised, comparative effectiveness trial, in The Lancet, 2016, 388: 2753-62.

The background: Meniere's disease causes vertigo attacks and hearing loss. Gentamicin, the standard treatment, improves vertigo but can worsen hearing. So the question is whether an alternative treatment, methylprednisolone, would be better - as good in reducing vertigo, and better in terms of hearing loss. That's actually not what the trial did though - it had frequency of vertigo attacks as the primary outcome. You might question the logic here; if gentamicin is already good at reducing vertigo, you might get no or only a small improvement with methylprednisolone, but methylprednisolone might not cause as much hearing loss. So you want methylprednisolone to be better at reducing hearing loss, as long as it's nearly as good as gentmicin at reducing vertigo.

Anyway, the trial used vertigo as its primary outcome, and recruited 60 people, which was its pre-planned sample size. But when you look at the sample size justification, it's all about hearing loss! Er... that's a completely different outcome. They based the sample size of 60 people on "detecting" a difference of (i.e. getting statistical significance if the true difference was) 9dB (sd11). Unsurprisingly, the trial didn't find a difference in vertigo frequency.

This seems to be cheating. If you're going to sign up to the idea that it's meaningful to pre-plan a sample size based on a significance test, it seems important that it should have some relation to the main outcome. Just sticking in a calculation for a different outcome doesn't really seem to be playing the game. I guess it ticks the box for "including a sample size calculation" though. Hard to believe that the lack of logic escaped the reviewers here, or maybe the authors managed to convince them that what they did made sense (in which case, maybe they could get involved in negotiating Brexit?).

Here's their section on sample size, from the paper in The Lancet:

patel1

patel2


- No comments


Add a comment

Name
Email
Anti-Spam Question
My t-shirt is red. What colour is my t-shirt?
Anti-Spam Answer
Comment


Your IP address will be recorded. -

You can not use HTML, but you can use our special markup -

September 2017

Mo Tu We Th Fr Sa Su
Aug |  Today  | Oct
            1 2 3
4 5 6 7 8 9 10
11 12 13 14 15 16 17
18 19 20 21 22 23 24
25 26 27 28 29 30   

Search this blog

Tags

Galleries

Most recent comments

  • Hi Tom Sorry for delay in replying – taken out by family issues then holiday for the last month or s… by Simon Gates on this entry
  • Simon, I can see where you're coming from on this. If MCID (in its various guises) is not an optimal… by Chee-Wee Tan on this entry
  • Hi Simon I am currently doing my PhD in clinical based research. We want to use the MCID to determin… by tomwilks on this entry
  • I think your comment reveals how nonsensical null hypothesis testing is (and I see from your other p… by matt on this entry
  • Thanks for commenting Matt – I do wonder if anyone ever looks at any of this, not that this is a pro… by Simon Gates on this entry

Blog archive

Loading…
Not signed in
Sign in

Powered by BlogBuilder
© MMXVII