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Re: st: RE: Survival analysis - individual survival functions
From
Steven Samuels <[email protected]>
To
[email protected]
Subject
Re: st: RE: Survival analysis - individual survival functions
Date
Thu, 16 Dec 2010 17:12:30 -0500
Very nice, Bobby!
Steve
[email protected]
On Dec 16, 2010, at 4:45 PM, Roberto G. Gutierrez, StataCorp wrote:
Paul Seed <[email protected]> asks:
Following a parametric survival regression, I can use -predict- with
the
-surv- option to get the survival function; but I only do not seem
to have
any choice over when it is calculated for.
The help file promises me values for S(t|t_0), and I would like to
set both
t and t_0 myself. But they seem to be set automatically, at the
time of
entry and exit of the subject.
Is there a simple way of doing this? If not, is there any chance of
it
being included in a future version of Stata?
Paul has received some good advice on alternatives to doing this
directly,
but doing it directly is possible by manipulating the variables that -
predict-
uses to calculate S(t|t_0). Of course, when you do this you have to be
careful to put everything back in place when you are done.
To illustrate, we fit a Weibull model on the cancer data that ships with
Stata, and we use one covariate, -age-
. sysuse cancer, clear
. streg age, dist(weibull)
The time variables that -predict- uses to predict the survival
function are
stored in variables _t and _t0, as established by -stset-. We proceed
by
making back up versions of these variables. We'll also back up -age-
since we
want to set this at a fixed value for the predictions, too.
. gen age_old = age
. gen t_old = _t
. gen t0_old = _t0
Once backed up, we are free to manipulate these. We begin by
resetting _t to
an evenly-spaced grid from 0 to 20
. drop _t
. range _t 0 20
Then we replace _t0 to be zero everywhere (it probably already is as
this is a
simple dataset, but we do it anyway), and we set -age- to be 75 so
that the
corresponding survival prediction is for someone aged 75
. replace _t0 = 0
. replace age = 75
We can now predict S(t|_t0) for -age == 75- and at the time values as
manually
set:
. predict s, surv
. list _t0 _t s
Of course, remember to put everything back in place
. replace age = age_old
. replace _t = t_old
. replace _t0 = t0_old
--Bobby
[email protected]
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