On Nov 13, 2007 4:58 PM, Emmanuel Charpentier
<[EMAIL PROTECTED]> wrote:
> Pardon me for intruding, but I had recently to explain something
> analogous to this to a distinguished physician who had hurt himself
> playing with survival models and was bleeding graphs and analyses all
> over the place.
On Nov 14, 2007 5:17 AM, Peter Dalgaard <[EMAIL PROTECTED]> wrote:
>
> Dylan Beaudette wrote:
> > On Tuesday 13 November 2007, Peter Dalgaard wrote:
> >
> >> Prof Brian Ripley wrote:
> >>
> >>> On Tue, 13 Nov 2007, Dylan Beaudette wrote:
> >>>
> Hi,
>
> I have setup a simple logistic
Dylan Beaudette wrote:
> On Tuesday 13 November 2007, Peter Dalgaard wrote:
>
>> Prof Brian Ripley wrote:
>>
>>> On Tue, 13 Nov 2007, Dylan Beaudette wrote:
>>>
Hi,
I have setup a simple logistic regression model with the glm() function,
with the follow formula:
>
Pardon me for intruding, but I had recently to explain something
analogous to this to a distinguished physician who had hurt himself
playing with survival models and was bleeding graphs and analyses all
over the place...
Dylan Beaudette a écrit :
> On Tuesday 13 November 2007, Prof Brian Ripley wr
On Tuesday 13 November 2007, Peter Dalgaard wrote:
> Prof Brian Ripley wrote:
> > On Tue, 13 Nov 2007, Dylan Beaudette wrote:
> >> Hi,
> >>
> >> I have setup a simple logistic regression model with the glm() function,
> >> with the follow formula:
> >>
> >> y ~ a + b
> >>
> >> where:
> >> 'a' is a
Prof Brian Ripley wrote:
> On Tue, 13 Nov 2007, Dylan Beaudette wrote:
>
>
>> Hi,
>>
>> I have setup a simple logistic regression model with the glm() function, with
>> the follow formula:
>>
>> y ~ a + b
>>
>> where:
>> 'a' is a continuous variable stratified by
>> the levels of 'b'
>>
>>
>> Lo
On Tuesday 13 November 2007, Prof Brian Ripley wrote:
> On Tue, 13 Nov 2007, Dylan Beaudette wrote:
> > Hi,
> >
> > I have setup a simple logistic regression model with the glm() function,
> > with the follow formula:
> >
> > y ~ a + b
> >
> > where:
> > 'a' is a continuous variable stratified by
>
On Tue, 13 Nov 2007, Dylan Beaudette wrote:
> Hi,
>
> I have setup a simple logistic regression model with the glm() function, with
> the follow formula:
>
> y ~ a + b
>
> where:
> 'a' is a continuous variable stratified by
> the levels of 'b'
>
>
> Looking over the manual for model specification,
Hi,
I have setup a simple logistic regression model with the glm() function, with
the follow formula:
y ~ a + b
where:
'a' is a continuous variable stratified by
the levels of 'b'
Looking over the manual for model specification, it seems that coefficients
for unordered factors are given 'aga
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