Announcement

Collapse
No announcement yet.

Re: Stats Power. Report Confidence Limits - p values

Collapse
This topic is closed.
X
X
 
  • Filter
  • Time
  • Show
Clear All
new posts

  • Re: Stats Power. Report Confidence Limits - p values

    This brings up an interesting issue. I spoke to a statistician last year who
    told me that the only reason Fischer came up with these tables, and indeed the
    whole concept of significance testing, was because there were no computers
    available at that time. He considered T-tests, ANOVAs etc. to be stopgap
    methods that could to be used to get an approximate estimate until better
    computing power came along (as he expected it would).

    If Fischer were to be alive today, he would likely be appalled that we are
    still using his extremely simplified methods. Apparently any decent real
    statistician worth his salt these days performs a simulation in order to
    compute the likelihood of error. I was never able to find out how this is done,
    but perhaps someone else on the list can enlighten us? It really is time all of
    us in biomechanics moved into the modern age!

    Bryan Kirking wrote:

    > To comment and question some of Dr. Allison's insight:
    >
    > >>My understanding of the arbitrary "line in the sand" of 0.05 was
    > >>originally due to the choice of the original tables (pre computer)

    --
    Dr. Chris Kirtley MD PhD
    Associate Professor
    Dept. of Biomedical Engineering
    Catholic University of America
    Washington DC 20064
    Alternative email: kirtleymd@yahoo.com

    -----------------------------------------------------------------
    To unsubscribe send SIGNOFF BIOMCH-L to LISTSERV@nic.surfnet.nl
    For information and archives: http://isb.ri.ccf.org/biomch-l
    -----------------------------------------------------------------
Working...
X