David Winsemius wrote
This is making me think you really have multiple observation on the
same individuals (and that persons make transitions from one state to
another as a result of the passage of time. That needs a more complex
analysis than simple logistic regression. You might
On Jun 6, 2012, at 10:59 , lincoln wrote:
David Winsemius wrote
This is making me think you really have multiple observation on the
same individuals (and that persons make transitions from one state to
another as a result of the passage of time. That needs a more complex
analysis
On Jun 6, 2012, at 9:36 AM, peter dalgaard wrote:
On Jun 6, 2012, at 10:59 , lincoln wrote:
David Winsemius wrote
This is making me think you really have multiple observation on the
same individuals (and that persons make transitions from one state to
another as a result of the
Thank you all,
This was exactly the sort of help I hoped to get.
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Thank you for your commentaries and suggestions.
Site 0 and site 1 are interpretable like events.
In fact these data come from a simultaneous observations of individuals in
two different sites (so they are independent observations: while one
individual is observed in one site it can't be in
On Jun 5, 2012, at 4:52 AM, lincoln wrote:
Thank you for your commentaries and suggestions.
Site 0 and site 1 are interpretable like events.
In fact these data come from a simultaneous observations of
individuals in
two different sites (so they are independent observations: while one
Hi all,
I have done a backward stepwise selection on a full binomial GLM where the
response variable is gender.
At the end of the selection I have found one model with only one explanatory
variable (cohort, factor variable with 10 levels).
I want to test the significance of the variable cohort
On Jun 4, 2012, at 7:00 AM, lincoln wrote:
Hi all,
I have done a backward stepwise selection on a full binomial GLM
where the
response variable is gender.
At the end of the selection I have found one model with only one
explanatory
variable (cohort, factor variable with 10 levels).
I
So sorry,
My response variable is site (not gender!).
The selection process was:
str(data)
'data.frame': 1003 obs. of 5 variables:
$ site : Factor w/ 2 levels 0,1: 1 1 1 1 1 1 1 1 1 1 ...
$ sex : Factor w/ 2 levels 0,1: NA NA NA NA 1 NA NA NA NA NA ...
$ age : Factor w/ 2 levels 0,1:
On Jun 4, 2012, at 11:31 AM, lincoln wrote:
So sorry,
My response variable is site (not gender!).
The selection process was:
If there is a natural probability interpretation to site==1 being a
sort of event, (say perhaps a non-lymphatic site for the primary site
of a lymphoma) then
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