Date: Fri, 21 Jan 2005 10:17:55 +1030
Reply-To: Kylie Lange <email@example.com>
Sender: "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From: Kylie Lange <firstname.lastname@example.org>
Subject: Re: survival analysis with left censored data
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As far as I am aware methods for arbitrarily censored data (ie, data that
contains a mixture of different censoring types) are restricted to full
parametric models. As you say, Cox regression (semi-parametric) is
applicable for right-censored data only. Parametric models (Weibull,
log-linear, log-normal, gamma etc) are not implemented in SPSS however
there are procedures in SAS, Minitab and S-Plus among others.
I do recall reading somewhere that the non-parametric method called
Turnbull's method (analogous to Kaplan-Meier but for left and right
censored data) can be modified to handle interval censored data, but I
don't remember any of the details.
Some of my favourite survival references that include parametric models:
D. Collett. 1994. Modelling Survival Data in Medical Research
J.P. Klein & M.L. 1997. Moeschberger. Survival Analysis: Techniques for
Censored and Truncated Data.
D.W. Hosmer & S. Lemeshow. 1999. Regression Modeling of Time to Event Data.
From memory some of these references mention extensions to Cox regression
that can handle censoring schemes other than right-censoring, but when I
looked into it about a year ago none of those methods had reached the stage
of being commonly used in the applied literature or implemented in standard
Hope this helps.
At 11:00 PM 20/01/2005 +0000, Pablo Mora Olmedo wrote:
>Right to the problem, I need to model time-to-event in a sample with a good
>number of left- and some interval-censored cases. My impression is that I
>can't use Cox or proportional hazards regression? Am I right? If that's the
>case can anyone give me some references I could use to find out what type of
>analysis is the most appropriate?
>Thanks in advance
>BTW, Thanks to all the people who kindly answered my email regarding survey