Thank you all,
This was exactly the sort of help I hoped to get.
--
View this message in context:
http://r.789695.n4.nabble.com/Chi-square-value-of-anova-binomialglmnull-binomglmmod-test-Chisq-tp4632293p4632568.html
Sent from the R help mailing list archive at Nabble.com.
_
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
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
>
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 mig
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
indivi
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 anoth
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) th
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
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 wa
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"
10 matches
Mail list logo