In article 01bf3442$bfca8630$[EMAIL PROTECTED],
[EMAIL PROTECTED] (Beatriz Margolis) wrote:
I would appreciate if somebody in the list could help me with the
following
questions:
a. Where may I found a description of the internal format of a
.xls
file?
The internal format of an XLS
Hi -
I often use Cox proportional hazards modelling (SPSS)for
analyzing patient survival data. Although I know how the hazard function
plot is generated I'm not certain how to interpret it and have been
ignoring it up until now. I'd appreciate it if anyone could give me a
quick explanation of
Robert Dawson wrote:
Exactly... An example - we've been using Devore Peck, which
unfortunately introduces the Z test for the mean, supposedly for pedagogical
reasons but without nearly a strong enough indication of this. A lot of
students infer a rule "if n30 use z rather than t"
On Wed, 15 Dec 1999 [EMAIL PROTECTED] wrote:
Will someone please enlighten me as to the general differences between
GLM and ANOVA. In my short journey through graduate statistics, I
somehow assumed they were the same.
Parallelling your short journey, here is a short distinction in one
Robert Dawson wrote:
Exactly... An example - we've been using Devore Peck, which
unfortunately introduces the Z test for the mean, supposedly for
pedagogical
reasons but without nearly a strong enough indication of this. A lot of
students infer a rule "if n30 use z rather than t"
In SAS, ANOVA is for design of one-way and balanced multi-way
classifications. The main point here is "balanced." ANOVA may be used for
unbalanced data if the factors do not interact, otherwise, GLM is a
better procedure.
Hello Robert and All --
Please forgive the intrusion of a lurker in a domain above my pay
grade, as it were, but I have a slight question...
The "Z test with s" is nothing but an unnecessary approximation of the
t distribution for n1 degrees of freedom by the z distribution. The most
of course ... if one believes that NEITHER really give you any useful
information about population parameters ... means ... or correlation
values, etc. ... remember, the t distribution and associated tests using
it, is not JUST used for means ... THEN, maybe this distinction is trivial
...
in minitab for example ... the command ANOVA insists on equal ns in the
cells ... glm does not ... this is not a conceptual difference as don was
pointing out ... but, it is important IF you happen to be using minitab
--
208 Cedar Bldg., University
Hi Robert,
We have a website featuring interactive applets with tutorials for some
introductory concepts. The applet for power is particularly cool - the user
can control effect size, n, or power, and see dynamic connections. The URL
is wise.cgu.edu These are free to use, though we
Please let me know if you would like to see FREE sample pages from the QED
Millennium
Mathematical Frieze. This is our calendar for the New Year, and takes the
place of FunMaths!, which has receeived high acclaim in recent years.
Like FunMaths, the Millennium Frieze contains countless
i would highly recommend a paper by ken brewer ... titled: behavioral
statistics textbooks: source of myths and misconceptions, Journal of
Educational Statistics .. Fall, 1985, V 10, #3, pp 252-268 ... for an
excellent discussion of the CLT
At 12:20 PM 12/15/99 -0600, Olsen, Chris wrote:
I thought there was a chance it would hinge on "better". Since it was
"never" that got the emphasis, I thought I'd ask. The problem for me
with the statement "Z is NEVER a better test for the mean under
circumstances they are likely to encounter [in psychology]" is that it
reads like an
The best and most intuitive interpretation of hazard rate and plot I've ever
read is in the book by Kleinbaum. The complete reference is:
Kleinbaum DG. Survival analysis. A self-learning text. N. York, Springer,
1996.
--
--
"J.L." wrote:
I am a PhD student in biostats. who will be starting the dissertation
process in about a year and a half. Could anyone direct me to some
useful books/web sites/other references on beginning, researching,
writing the dissertation? Most of the books I have found so far seem
to
Chris Olsen wrote:
It would seem to me that more than this most can be said. If my reading
of the central limit theorem is up to snuff, I should be able to use the
"Z
test with s" without an underlying assumption of the normality of the
parent
population,
Yes, as an unnecessary
Jerry Dallal wrote:
The problem for me
with the statement "Z is NEVER a better test for the mean under
circumstances they are likely to encounter [in psychology]" is that it
reads like an indictment
It is. The last thing students in
I'm not sure if this will be pertinent to your field as it is written more
from a psychologist's reference, but for an excellent text try:
Cone, J. D., Foster, S. L. (1993). Dissertations and theses from start to
finish. Washington, DC: American Psychological Association.
Dale Glaser
On 14 Dec 1999 08:40:18 -0800, [EMAIL PROTECTED] (William B. Ware)
wrote:
As I recall, there was an article by Lunney et al that appeared in the
Journal of Educational Measurement that examined the use of ANOVA with "1"
and "0" as the DV. I believe that they concluded that distortion was
On 14 Dec 1999 16:38:00 -0800, [EMAIL PROTECTED] (Rich Strauss)
wrote:
snip
I'll just add the usual caveat that hasn't yet been mentioned in these
responses about proportions: the transformations, use of the binomial, and
comment about proportions just being means all assume that the data
- Forwarded message from Olsen, Chris -
It would seem to me that more than this most can be said. If my reading
of the central limit theorem is up to snuff, I should be able to use the "Z
test with s" without an underlying assumption of the normality of the parent
population, required
One of the first things to do is to pose your queries with a senior faculty
member with whom you are acquainted. Perhaps, you might even boldly bounce
a few subject/topic areas for your thesis with him/her. Some professors have
favorite dissertations "on the shelf" portraying what has been
22 matches
Mail list logo
