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Re: st:Survival analysis - dealing with Right truncated data
From
Nick Cox <[email protected]>
To
[email protected]
Subject
Re: st:Survival analysis - dealing with Right truncated data
Date
Fri, 17 Aug 2012 15:24:04 +0100
This doesn't seem exotic. In biostatistical terms, everyone died. You
can analyse survival time, but you have no information on probability
of survival beyond saying it is 100% for your dataset.
For available commands, I suggest -search- and -findit- with
appropriate keywords.
Nick
On Fri, Aug 17, 2012 at 3:15 PM, Phakathi, T.R. <[email protected]> wrote:
> The dataset ONLY includes observations that have failed (Right truncation). For those that have failed (in this case all who lost employment), there are details on the risk onset and failure date including individual and firm characteristics.
>
> I would like to estimate the impact of the covariates on Survival. Are the commands distinct from “normal” survival data? If so what are the available commands (Non/Semi ¶metric)?
>
> May I tap into the wealth of your experiences
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