Sometimes we are so
wrapped up in the day-to-day activities of conducting the clinical
trial that we forget to perform some of the more obvious data checks.
Data-cleaning activities that seem unlikely to bear fruit because
âI canât believe they would do thisâ or âthere
is no way they could mess this upâ are always worth performing,
especially when they are straightforward to implement. When someone
fabricates or manipulates data, there are many aspects to consider
so that the misdeed goes undetected; one detail may go overlooked
or other facets may not even be considered! Consider, for example,
the visit dates themselves. Sure, we may have validation checks to
ensure that Visit (k-1) occurs ...