How skeptical are you of a trial that reports 100% of screened patients randomized, 100% of randomized completed, and 100% of completed have follow-up data?
-
-
Not necessary for the data to be faked for there to be errors in the tables! Could just have miscalculated a few numbers, or given the wrong sample size in the paper. The issue is that, without explanation, it is impossible to distinguish easily made mistakes from fraud
Thanks. Twitter will use this to make your timeline better. UndoUndo
-
Loading seems to be taking a while.
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.