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Re: st: Projected Survival Rates after -stcox-


From   Steve Samuels <[email protected]>
To   [email protected]
Subject   Re: st: Projected Survival Rates after -stcox-
Date   Thu, 7 Mar 2013 12:55:23 -0500



Maarten, "survival rate" is customary terminology for a survival
probability. See, e.g.: http://www.cancer.gov/dictionary?cdrid=44301.

Also, when I wrote to the list yesterday, I had forgotten that -stcurve- 
can also plot smoothed estimates of the hazard function. 

Steve

------------------------------

Date: Thu, 28 Feb 2013 15:21:45 +0100
From: Maarten Buis <[email protected]>
Subject: Re: st: Projected Survival Rates after -stcox-

On Thu, Feb 28, 2013 at 2:43 PM, Yuval Arbel wrote:
> I would like to predict the survival rates after -stcox- at the sample
> mean of each 114 periods in my sample.
> 
> The predicted value should be bounded between 0 and 1.

That is not true, a rate is larger than or equal to 0 but not
necesarily less than 1. Whether that is true pretty much depends on
the unit you used to measure time.

> How could I calculate these predictions directly?

If you want this kind of thing than that is a sure sign that you do
not want to estimate a Cox model. The strength and weakness of a Cox
model is that it does not estimate the baseline hazard function. This
means that you cannot make a mistake in the baseline hazard functiton
(the strength) but it also means that it is only designed to estimate
hazard ratios (the weakness). You'll probably want to look at a model
like -stpm2- (type in Stata -findit stpm2-).

Hope this helps,
Maarten

- ---------------------------------
Maarten L. Buis
WZB
Reichpietschufer 50
10785 Berlin
Germany
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