--- akasha_108 <[EMAIL PROTECTED]> wrote:

snip

>  
> Thus, its critical to make the full original dataset
> available to
> other researchers to test the hypothesis via "their"
> approach to model
> specification and selection. If a suboptimal
> specification were chosen
> by the original researchers, because one or two
> paramenters shined,
> but others sucked, this "illusion" can be uncovered
> by indepedendent
> analysis and comparision of the results of different
> model
> specifications -- and the full spectrum of the
> relevant parameters and
> diagnostics associated with them. Or it may be found
> that alternative
> model specifications, strong on all levels, produces
> a different
> conclusion than the original research. This may
> indicates something
> important is missing in one or both models, and more
> analysis is
> necessary.

And in good science this discourse goes back and forth
with re-analysis of data, arguments for and against
stated conclusions and out of this seeming mess really
good, scientific advances come about. (On a side note,
if you follow the topics in scientific journal
articles  it is amusing how rival "camps" all but call
each other assholes in their publcations)
Unfortunately the TMO is not interersted in having its
ME research looked at because they know it is not
robust. It's a very faint whisper of pattern in a sea
of random noise that can only be seen if you look at
it in a very particular way.




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