I would like to use GLM to analysis a longitudinal data
any one know which library in R do so
thanks alot
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Hi,
I'm analyzing a longitudinal data set with 387 cows were
observed in 63 days divided into 6 groups, and every 30 days
was found to produce milk. Does not aim to model the time
using regression. Only compare the groups differ in terms of
milk production. There are many missing
On 27.12.2011 14:43, Silvano wrote:
Hi,
I'm analyzing a longitudinal data set with 387 cows were observed in 63
days divided into 6 groups, and every 30 days was found to produce milk.
Does not aim to model the time using regression. Only compare the groups
differ in terms of milk production.
-dortmund.de
To: Silvano silv...@uel.br
Cc: r-help@r-project.org
Sent: Tuesday, December 27, 2011 1:13 PM
Subject: Re: [R] Longitudinal data
On 27.12.2011 14:43, Silvano wrote:
Hi,
I'm analyzing a longitudinal data set with 387 cows were
observed in 63
days divided into 6 groups, and every 30 days
Dear List,
I have a theoretical question related to epidemiological data analysis:
If the treatment status (tx = 0,1) changes over time for the patients in a
non-randomized cohort, is there a way to estimate the treatment effect?
(i.e., after joining the study, some patients may have to wait
Apology for reposting, but the format of earlier message got
distorted; hopefully this time it will be readable:
From: wilds...@hotmail.com
To: r-help@r-project.org
Subject: Longitudinal data with non-randomized subjects
Date: Sun, 1 May 2011 00:34:08 -0700
Dear List,
I have a theoretical
hie
i am want to carryout a longitudinal analysis similar to the proc
catmod in SAS using The Weighted least squares method.my data is in the
following format.
Material nbsp; time1nbsp; time2nbsp;nbsp; time3
1nbsp;nbsp; nbsp;nbsp; nbsp;nbsp;
1
1
1
1
1
2
2
2
2
2
3
3
3
.
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