Displaying 4 results from an estimated 4 matches for "ledyard".
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edward
2015 Aug 29
2
please block user
...pecifically opt-in to receive them. That's the bottom line.
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--
Marc Chubbuck Sr.
American Legion
Sr. Vice Commander
Gales Ferry - Ledyard Post 205
(860) 440-6420
2010 Nov 11
2
predict.coxph and predict.survreg
Dear all,
I'm struggling with predicting "expected time until death" for a coxph and
survreg model.
I have two datasets. Dataset 1 includes a certain number of people for which
I know a vector of covariates (age, gender, etc.) and their event times
(i.e., I know whether they have died and when if death occurred prior to the
end of the observation period). Dataset 2 includes another
2015 Aug 27
5
please block user
On 08/27/15 12:12, Alice Wonder wrote:
> On 08/27/2015 08:58 AM, g wrote:
>> On 08/27/15 09:31, m.roth at 5-cent.us wrote:
>> <>
>>
>>> *sigh*
>>> And they're probably sent by a script running on the PC of a fat,
>>> 47 yr old guy living in a basement and making money this way....
>>>
>> .
>> i seriously doubt it.
2010 Nov 12
3
predict.coxph
Since I read the list in digest form (and was out ill yesterday) I'm
late to the discussion.
There are 3 steps for predicting survival, using a Cox model:
1. Fit the data
fit <- coxph(Surv(time, status) ~ age + ph.ecog, data=lung)
The biggest question to answer here is what covariates you wish to base
the prediction on. There is the usual tradeoff between too few (leave
out something