On Tue, 11 Apr 2006, Prof Brian Ripley wrote:
> On Tue, 11 Apr 2006, Thomas Lumley wrote:
>>
>> He has a linear model with the same number of observations for each person
>
> Not so: some have 3 and some have 2, and the two levels of T are not quite
> balanced (29/28).
>
>> and no covariates tha
On Tue, 11 Apr 2006, Thomas Lumley wrote:
> On Tue, 11 Apr 2006, Renaud Lancelot wrote:
>
>> 2006/4/10, Tarca, Adi <[EMAIL PROTECTED]>:
>>> Hi all,
>>>
>>> I have a dataset in which the output Y is observed on two groups of
>>> patients (treatment factor T with 2 levels).
>>>
>>> Every subject in
On Tue, 11 Apr 2006, Renaud Lancelot wrote:
> 2006/4/10, Tarca, Adi <[EMAIL PROTECTED]>:
>> Hi all,
>>
>> I have a dataset in which the output Y is observed on two groups of
>> patients (treatment factor T with 2 levels).
>>
>> Every subject in each group is observed three times (not time points b
2006/4/10, Tarca, Adi <[EMAIL PROTECTED]>:
> Hi all,
>
> I have a dataset in which the output Y is observed on two groups of
> patients (treatment factor T with 2 levels).
>
> Every subject in each group is observed three times (not time points but
> just technical replication).
>
> I am interested
On Mon, 10 Apr 2006, Tarca, Adi wrote:
> Hi all,
>
> I have a dataset in which the output Y is observed on two groups of
> patients (treatment factor T with 2 levels).
>
> Every subject in each group is observed three times (not time points but
> just technical replication).
>
> I am interested in
Hi all,
I have a dataset in which the output Y is observed on two groups of
patients (treatment factor T with 2 levels).
Every subject in each group is observed three times (not time points but
just technical replication).
I am interested in estimating the treatment effect and take into account
