oh... it's matrix algebra? I used to like that stuff. And I don't remember
anything about it either. OK good enough.

On Wed, Feb 15, 2012 at 7:14 PM, Larry C. Lyons <larrycly...@gmail.com>wrote:

>
> Without going into detail, it involves power analysis, and I remember
> darned little of the matrix algebra course I took years ago.
>
> On Wednesday, February 15, 2012, Dana <dana.tier...@gmail.com> wrote:
> >
> > ok thanks realized after I sent the email that you were talking to Tim,
> but
> > i am glad to hear that I do indeed semi-remember this stuff. I m kinda
> > curious about the calculation they did a thousand times if you are able
> to
> > formulate a description. But it doesn't need to be right now. Take your
> > time, and hey :) fifty words even.
> >
> > On Wed, Feb 15, 2012 at 6:59 PM, Larry C. Lyons <larrycly...@gmail.com
> >wrote:
> >
> >>
> >> You are not the only one. On my desk at home is a notebook with all my
> >> notes for the next version of my meta-analysis application. 150 pages
> and
> >> counting - most of which are botched formulae for calculating
> statistical
> >> power effect sizes and converting obtained probability values to effect
> >> sizes. Makes me wish at times I stayed with single case designs.
> >>
> >> 10 word or less that is really difficult. Can I go for 30?
> >>
> >> But you've essentially got the idea. I left out a lot, range estimation
> and
> >> correction for error andthat sort of thing, but yes.
> >>
> >> On Wednesday, February 15, 2012, Dana <dana.tier...@gmail.com> wrote:
> >> >
> >> > what not really -- the meaning of standard deviations? If so yeah you
> are
> >> > right, I think but what Maureen and  I said is an .... ok 10 words or
> >> less
> >> > version.
> >> >
> >> > In this case p=0.011 so theoretically if they did everything else
> right,
> >> > these results should replicate 99% of the time. And not, 1%.
> >> >
> >> > I realize that's it's not a given that the 1% is random or that it
> won't
> >> > occur the next time you repeat the experiment, but I think that is a
> >> rather
> >> > fine distinction for our purposes. Kinda like the difference between
> >> > Springfield and Tyson's Corner, as seen from California, yanno? If I
> >> don't
> >> > have that right then fine, tell me,  but if you're going to crank up
> your
> >> > statistical powers I'd rather hear an explanation of that leave one
> out
> >> > thing they did a thousand times, because that part I do not understand
> at
> >> > ALL.
> >> >
> >> > On Wed, Feb 15, 2012 at 6:21 PM, Larry C. Lyons <
> larrycly...@gmail.com
> >> >wrote:
> >> >
> >> >>
> >> >> Not really. It depends on the stats that are used. When looking at
> >> >> statistical results, the way to interpret statistical significance is
> as
> >> >> follows. Let's say the researchers found the two groups showed a
> >> >> significant difference of p &lt; 0.05 . This means that if you
> >> replicated
> >> >> the study an infinite number of times, 95% of these results would
> fall
> >> very
> >> >> close to the difference found in the first study. How meaningful that
> >> >> spread is depends on the standard error of the studies, and other
> >> factors.
> >> >>  It also mean that in order to show a significant difference with a
> >> smaller
> >> >> sample you'd need a much larger difference to achieve statistical
> >> >> significance.
> >> >>
> >> >> So you can make very accurate predictions based on fairly small
> samples.
> >> It
> >> >> all depends on the statistical power of your experiment. I'm too
> burned
> >> out
> >> >> to really discuss it now, but if interested Wikipedia has a pretty
> good
> >> >> explanation of it   - http://en.wikipedia.org/wiki/Statistical_power
> >> >>
> >> >> On Wednesday, February 15, 2012, LRS Scout <lrssc...@gmail.com>
> wrote:
> >> >> >
> >> >> > The sampling of 90 people is really really small.
> >> >> >
> >> >> > On Wed, Feb 15, 2012 at 7:29 PM, Dana <dana.tier...@gmail.com>
> wrote:
> >> >> >
> >> >> >>
> >> >> >> feel free to run away, Sam, but you still haven't showed me any
> basis
> >> at
> >> >> >> all for the crap you've been talking.
> >> >> >>
> >> >> >> On Wed, Feb 15, 2012 at 4:18 PM, Sam <sammyc...@gmail.com> wrote:
> >> >> >>
> >> >> >> >
> >> >> >> > I give up and feel the fool for not heeding this advice sooner:
> >> >> >> >
> >> >> >> > Don’t argue with idiots. They drag you down to their level and
> beat
> >> >> >> > you with experience
> >> >> >> >
> >> >> >> > .
> >> >> >> >
> >> >> >> > On Wed, Feb 15, 2012 at 7:07 PM, Dana <dana.tier...@gmail.com>
> >> wrote:
> >> >> >> > >
> >> >> >> > >>
> >> >> >> > >> Yes it is. It's the same study done three times. Two people,
> 90
> >> >> people
> >> >> >> > >> and 28 people.
> >> >> >> > >>
> >> >> >> > >
> >> >> >> > > Ah, here's the heart of the problem. No, Sam, it isn't. It's
> --
> >> I'd
> >> >> >> call
> >> >> >> > it
> >> >> >> > > two studies and an experiment I guess -- that tested the same
> >> >> >> hypothesis.
> >> >> >> > > According to your nomenclature here, all trials for the same
> drug
> >> >> are a
> >> >> >> > > single study. And mutually responsible for one another's
> >> >> methodology.
> >> >> >> > And,
> >> >> >> > > according to you, everything anyone remotely affiliated with
> them
> >> >> may
> >> >> >> > have
> >> >> >> > > said in an interview...
> >> >> >> > >
> >> >> >> > >
> >> >> >> > >> PURE BS!
> >> >> >> > >> If a scientist ever made nickle form an oil company
> everything
> >> they
> >> >> >> > >> ever say for the rest of their lives is bunk in your mind.
> >> >> >> > >>
> >> >> >> > >
> >> >> >> > > I don't recall ever saying this...  I'd get into what I might
> >> have
> >> >> said
> >> >> >> > if
> >> >> >> > > I had participated in whatever thread you are talking about,
> but
> >> >> let's
> >> >> >> > cut
> >> >> >> > > to the chase. You have no clue.  You just know you don't like
> it.
> >> I
> >> >> >> > suppose
> >> >> >> > > you're entitled to this position, but don't ask me to take it
> (or
> >> >> you)
> >> >> >> > > seriously at this point.
> >> >> >> > >
> >> >> >> > > NOW, you say the science is sound even though you know it was
> the
> >> >> >> > >> equivalent of Bill Maher saying if you don't agree you're
> >> inferior.
> >> >> >> > >
> >> >> >> > >
> >> >> >> > > Whatever, dude, you're still talking about something that's
> >> >> completely
> >> >> >> > > beside the point. Concentrate on Larry's journal article. What
> is
> >> >> wrong
> >> >> >> > >
> >> with
> >>
> >>
> >
> >
>
> 

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