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From |
Antoine Terracol <[email protected]> |

To |
[email protected] |

Subject |
Re: st: R: Estimating the probability of censoring |

Date |
Thu, 25 Sep 2008 20:00:30 +0200 |

Hello _all

I might be missing something, but isn't the correct way to do this more like (the part where I generate cens_adj):

sysuse cancer.dta, clear

gen id = _n // generate individual IDs

stset studytime, failure(died==0) // note that total person-time is 744

*estimate the unadjusted probability of censoring

sts gen cens = s

*estimate the adjusted probability of censoring

stcox drug age, nohr basec(cum)

predict coeff_cens, xb // predicts linear coefficients of censoring

gen p_cens = exp(coeff_cens) // adjusted probability of time-to-censoring

gen cens_adj=exp(-cum*exp(coeff_cens))

*lists the results

list id drug age died cens p_cens cens_adj in 40/48, clean noobs

id drug age died cens p_cens cens_adj

40 3 50 0 .58476475 .8601028 .6811302

41 3 55 1 .58476475 .9429854 .6563864

42 3 57 1 .51166915 .9783332 .5705886

43 3 48 0 .51166915 .8290267 .6216006

44 3 56 0 .34111277 .9604967 .4199265

45 3 60 1 .34111277 1.033855 .3930005

46 3 62 0 .22740851 1.072609 .2585016

47 3 48 0 .11370426 .8290267 .2171345

48 3 52 0 0 .8923438 .0710848

Antoine

Michael McCulloch wrote:

at a very first glance, what hits the eyes is the adjusted probability ofYes, that's one of my main questions. Since I used the Stata-supplied cancer.dta file and provided all my methods, I'm hoping that someone on Statalist might have advice on how to correct the method for unadjusted estimation of censoring probability.

being censoring sometimes above the usual upper constraint. How can it be? I

should have missed something in your assumptions.

Kind Regards,

Carlo

-----Messaggio originale-----

Da: [email protected]

[mailto:[email protected]] Per conto di Michael McCulloch

Inviato: gioved� 25 settembre 2008 17.56

A: Statalist

Oggetto: st: Estimating the probability of censoring

Hello,

I'm seeking guidance on a series of commands I've written to estimate

the probability of being censored. Might anyone be able to offer

commentary as to whether I've done this correctly? The resulting

unadjusted probability of censoring ranges from 0-1, while the

adjusted probability goes above 1.

sysuse cancer.dta, clear

gen id = _n // generate individual IDs

stset studytime, failure(died==0) // note that total

person-time is 744

*estimate the unadjusted probability of censoring

sts gen cens = s

*estimate the adjusted probability of censoring

stcox drug age, nohr

predict coeff_cens, xb // predicts linear

coefficients of censoring

gen p_cens = exp(coeff_cens) // adjusted probability of

time-to-censoring

*lists the results

list id drug age died cens p_cens in 40/48, clean noobs

40 3 50 0 .58476475 .8601028

41 3 55 1 .58476475 .9429854

42 3 57 1 .51166915 .9783332

43 3 48 0 .51166915 .8290267

44 3 56 0 .34111277 .9604967

45 3 60 1 .34111277 1.033855

46 3 62 0 .22740851 1.072609

47 3 48 0 .11370426 .8290267

48 3 52 0 0 .8923438

--

Best wishes,

Michael McCulloch

Pine Street Foundation

124 Pine St., San Anselmo, CA 94960-2674

Tel: (415) 407-1357

Fax: (415) 485-1065

[email protected]

www.pinestreetfoundation.org

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**Follow-Ups**:**Re: st: R: Estimating the probability of censoring***From:*Michael McCulloch <[email protected]>

**Re: st: R: Estimating the probability of censoring***From:*Antoine Terracol <[email protected]>

**References**:**Re: st: R: Estimating the probability of censoring***From:*Michael McCulloch <[email protected]>

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