Dear List,
Catching up with my backlog, I stumbled upon this :
On Wed, 11 Feb 2009 10:33:13 +1300, Rolf Turner wrote :
> I am appealing to the general collective wisdom of this list in respect
> of a statistics (rather than R) question. This question comes to me
> from a friend who is a veterin
.@r-
project.org]
On Behalf Of Rolf Turner
Sent: Dienstag, 10. Februar 2009 22:33
To: R-help Forum
Subject: [R] OT: A test with dependent samples.
I am appealing to the general collective wisdom of this list in
respect
of a statistics (rather than R) question. This question comes to me
ronger to me then. In
other words: Mathematically, you'll get an appropriate test, while
conceptually, I'm far from being convinced.
Hope this makes sense,
Michael
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org]
On Behalf Of Ro
Mail: richs...@earthlink.net
>
> - Original Message -
> From: "David Winsemius"
> To: "Rolf Turner"
> Cc: "R-help Forum"
> Sent: Tuesday, February 10, 2009 4:50 PM
> Subject: Re: [R] OT: A test with dependent samples.
>
>
.D.
Richland Statistics
9800 N 24th St
Richland, MI, USA 49083
Mail: richs...@earthlink.net
- Original Message - From: "David Winsemius" >
To: "Rolf Turner"
Cc: "R-help Forum"
Sent: Tuesday, February 10, 2009 4:50 PM
Subject: Re: [R] OT: A test with depe
There are a number of others considerations as well.
Were all the cats given the same dose? If we can establish
that the cats that vomited had a higher dose than the
ones that did not then this would be further evidence. Or if
the cats that vomitted had a lower dose perhaps the drug
is protectiv
Sent: Tuesday, February 10, 2009 4:50 PM
Subject: Re: [R] OT: A test with dependent samples.
In the biomedical arena, at least as I learned from Rosner's introductory
text, the usual approach to analyzing paired 2 x 2 tables is McNemar's
test.
?mcnemar.test
> mcnemar.test(matrix
On 11/02/2009, at 1:06 PM, Bert Gunter wrote:
The only question at issue (i.e. capable of being addressed) is: is
giving
the drug to non-vomiting cats associated with vomiting? (I would
strongly
suspect that cats that were vomiting beforehand would have been
excluded
from the study, as the
:
Tuesday, February 10, 2009 2:54 PM
To: Bert Gunter
Cc: 'David Winsemius'; 'Rolf Turner'; r-help@r-project.org
Subject: Re: [R] OT: A test with dependent samples.
Hi: Bert: can you do that because the null is that they are equal
before and after,
not that the prop
om: markle...@verizon.net [mailto:markle...@verizon.net]
Sent: Tuesday, February 10, 2009 2:54 PM
To: Bert Gunter
Cc: 'David Winsemius'; 'Rolf Turner'; r-help@r-project.org
Subject: Re: [R] OT: A test with dependent samples.
Hi: Bert: can you do that because the null is that they are
Still seems that McNemar's test is the appropriate test for the
matched design, but my first answer sent the input to the function
incorrectly, and it's not clear that a normal theory test would be
accurate in all instances. The matrix should have 61 cats with no
vomiting under either situa
009 1:51 PM
To: Rolf Turner
Cc: R-help Forum
Subject: Re: [R] OT: A test with dependent samples.
In the biomedical arena, at least as I learned from Rosner's
introductory text, the usual approach to analyzing paired 2 x 2 tables
is McNemar's test.
?mcnemar.test
mcnemar.test(matrix(c(
on 02/10/2009 03:33 PM Rolf Turner wrote:
>
> I am appealing to the general collective wisdom of this
> list in respect of a statistics (rather than R) question. This question
> comes to me from a friend who is a veterinary oncologist. In a study that
> she is writing up there were 73 cats who w
ehalf Of David Winsemius
Sent: Tuesday, February 10, 2009 1:51 PM
To: Rolf Turner
Cc: R-help Forum
Subject: Re: [R] OT: A test with dependent samples.
In the biomedical arena, at least as I learned from Rosner's
introductory text, the usual approach to analyzing paired 2 x 2 tables
is McNe
73 cats were treated. None barfing before and 12 after.
This gives the table:
| After | Yes | No | Total |
|+-++---|
| Before Yes | 0 | 0 | 0 |
| Before No | 12 | 61 |73 |
|+-++---|
| Total | 12 | 61 |73 |
and a McNem
In the biomedical arena, at least as I learned from Rosner's
introductory text, the usual approach to analyzing paired 2 x 2 tables
is McNemar's test.
?mcnemar.test
> mcnemar.test(matrix(c(73,0,61,12),2,2))
McNemar's Chi-squared test with continuity correction
data: matrix(c(73, 0
I am appealing to the general collective wisdom of this
list in respect of a statistics (rather than R) question. This question
comes to me from a friend who is a veterinary oncologist. In a study
that
she is writing up there were 73 cats who were treated with a drug called
piroxicam. None
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