On 2012-07-02 14:14, peter dalgaard wrote:
On Jul 2, 2012, at 19:27 , agittens wrote:
Peter Dalgaard-2 wrote
I fit a coxph model:
coxphfit <- coxph(Surv(sampledLifetime, !sampledCensoredQ) ~ curpbc6 +
prevpbc6, sampledTimeSeries)
Now I'm trying to predict the expected number of events
On Jul 2, 2012, at 19:27 , agittens wrote:
>
> Peter Dalgaard-2 wrote
>>
>>> I fit a coxph model:
>>>
>>> coxphfit <- coxph(Surv(sampledLifetime, !sampledCensoredQ) ~ curpbc6 +
>>> prevpbc6, sampledTimeSeries)
>>>
>>> Now I'm trying to predict the expected number of events using a new
>>>
Peter Dalgaard-2 wrote
>
>> I fit a coxph model:
>>
>> coxphfit <- coxph(Surv(sampledLifetime, !sampledCensoredQ) ~ curpbc6 +
>> prevpbc6, sampledTimeSeries)
>>
>> Now I'm trying to predict the expected number of events using a new
>> dataset.
>> The documentation suggests that
>>
>> coxPre
On Jun 29, 2012, at 23:56 , agittens wrote:
> I fit a coxph model:
>
> coxphfit <- coxph(Surv(sampledLifetime, !sampledCensoredQ) ~ curpbc6 +
> prevpbc6, sampledTimeSeries)
>
> Now I'm trying to predict the expected number of events using a new dataset.
> The documentation suggests that
>
>
I fit a coxph model:
coxphfit <- coxph(Surv(sampledLifetime, !sampledCensoredQ) ~ curpbc6 +
prevpbc6, sampledTimeSeries)
Now I'm trying to predict the expected number of events using a new dataset.
The documentation suggests that
coxPred <- predict(coxphfit, newdata = testTimeSeries, type="ex
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