Skip to main content
Sharon Ayayo

Sharon Ayayo

Clinical Trials Statistician at the University of Oxford and PhD graduate in Biostatistics from the University of Manchester, researching cardiovascular outcomes and mortality trends after heart attack.

Jul 28, 2026

12:40
Um, just in terms of the-- from the statistical side, Sharon, what would you say are the, are the limitations of this, uh, study and the conclusions that you can draw from it?
12:49
So, uh, in some there was a, a statistical limitation, uh, in the modeling method that we used because, uh, the, the outcome was one-year mortalities, uh, which will be expected to be modeled maybe using, uh, time to event or survival analysis models.
13:07
But, um, uh, currently for this decomposition, uh, method that we used, uh, this is still not compatible with survival modeling.
13:16
So that's, uh, also another gap, uh, in future.
13:20
Maybe, um, if I have capacity, I might look into that to come up with the decomposition for survival analysis.
13:27
Uh, so that was a limitation because then, um, we, we used one-year outcome as a binary outcome rather than accounting for, uh, like the time, time to, to the event and censoring.
13:41
But also there's, uh, some evidence that were, were done, some peop- some studies that show- shown that, um, uh, for short-term follow-up, up to five years, usually there's, uh, uh, very little bias that is due to censoring.
15:21
And finally, Sharon, what would you say are the sort of take-home messages of this piece of research that, um, people should, uh, take heed of?

We value your privacy

We use cookies to understand how you use our platform and to improve your experience. Click “Accept All” to consent, or “Decline non-essential” to opt out of non-essential cookies. Read our Privacy Policy.