I guess that in most cases it's not about completely different methods - which often depend on the available data - but more about the assumptions: models, estimates, significance, censoring, etc.
But I agree with the principle: if researchers - and journals - acknowledged that their analysis is just one in a million, lots of things in medicine and health policy would improve.
I guess that in most cases it's not about completely different methods - which often depend on the available data - but more about the assumptions: models, estimates, significance, censoring, etc.
But I agree with the principle: if researchers - and journals - acknowledged that their analysis is just one in a million, lots of things in medicine and health policy would improve.
I guess that in most cases it's not about completely different methods - which often depend on the available data - but more about the assumptions: models, estimates, significance, censoring, etc.
But I agree with the principle: if researchers - and journals - acknowledged that their analysis is just one in a million, lots of things in medicine and health policy would improve.