On Tue, 19 Jun 2007, John Logsdon wrote:
> In survreg() the predictor is log(characteristic life) for Weibull (=
> exponential when scale=1) - ie the 63.2%ile. For the others the predictor is
> log(median).
>
> This causes problems when comparing predictions and a better way IMHO is to
> correct
In survreg() the predictor is log(characteristic life) for Weibull (=
exponential when scale=1) - ie the 63.2%ile. For the others the predictor is
log(median).
This causes problems when comparing predictions and a better way IMHO is to
correct the Weibull prediction by a factor (log(2))^(1/sca
sj wrote:
> I am using psm to model some parametric survival data, the data is for
> length of stay in an emergency department. There are several ways a
> patient's stay in the emergency department can end (discharge, admit, etc..)
> so I am looking at modeling the effects of several covariates on
I am using psm to model some parametric survival data, the data is for
length of stay in an emergency department. There are several ways a
patient's stay in the emergency department can end (discharge, admit, etc..)
so I am looking at modeling the effects of several covariates on the various
outcom
