Note that most of the nonparametric and semi-parametric competing risks
analyses can be performed within the survival package. This includes
nonparametric estimation of cause-specific cumulative incidence curves and
the log-rank type test. It suffices to create a weighted data set as
explained in G
Dear Terry,
Thanks for responding to my question. I am starting to understand CI now, but I
still have a general question: in oncology medical literature, when the study
endpoint is recurrence, it's so common to see publications with Kaplan-Meier
survival curves (time to recurrence or recurrenc
> Hi, I am wondering if anyone can explain to me if cumulative incidence
> (CI) is
The cumulative incidence curve and the KM are not the same, when there
are multiple outcomes. See the "etype" argument to survfit, which is
used to create CI curves (?survfit.formula). For testing difference
:40:52 AM
Subject: RE: [R] cumulative incidence plot vs survival plot
>So in cuminc() function, the argument "fstatus" should be coded like:
0=censored, 1=event of interest, 2=event of competing risk. Then the
function will calculate CI for each of the 2 types of events >(event of
in
>So in cuminc() function, the argument "fstatus" should be coded like:
0=censored, 1=event of interest, 2=event of competing risk. Then the
function will calculate CI for each of the 2 types of events >(event of
interest and event of competing risk), am I correct?
Correct.
>What about running regu
: Monday, June 27, 2011 2:04 PM
To: David Winsemius
Cc: r-help@r-project.org
Subject: Re: [R] cumulative incidence plot vs survival plot
Hi David,
Thanks for responding, and plain text ...(didn't realized I was in rich
text).
The endpoint is disease recurrence, I was producing a regular KM
ginal Message-
From: array chip [mailto:arrayprof...@yahoo.com]
Sent: Monday, June 27, 2011 2:04 PM
To: David Winsemius
Cc: r-help@r-project.org
Subject: Re: [R] cumulative incidence plot vs survival plot
Hi David,
Thanks for responding, and plain text ...(didn't realized I was in rich
text)
chell)
To: array chip ; David Winsemius
Cc: r-help@r-project.org
Sent: Tue, June 28, 2011 9:20:22 AM
Subject: RE: [R] cumulative incidence plot vs survival plot
John,
Since death precludes recurrence, censoring deaths would violate the KM
estimator assumption that additional follow-up would event
Thank you David. Didn't realized someone posted related topic this morning.
John
- Original Message
From: David Winsemius
To: array chip
Cc: r-help@r-project.org
Sent: Mon, June 27, 2011 3:38:36 PM
Subject: Re: [R] cumulative incidence plot vs survival plot
On Jun 27, 2011,
ing's post from Dr Geskus is
on point here. You should read his 2011 'Biometrics' paper.
--
David.
Thanks very much!
John
From: David Winsemius
To: array chip
Cc: r-help@r-project.org
Sent: Mon, June 27, 2011 1:45:35 PM
Subject: Re: [R]
t.org
Sent: Mon, June 27, 2011 1:45:35 PM
Subject: Re: [R] cumulative incidence plot vs survival plot
On Jun 27, 2011, at 4:31 PM, array chip wrote:
> Hi, I am wondering if anyone can explain to me if cumulative incidence (CI) is
> just "1 minus kaplan-Meier survival"?
First tell us
On Jun 27, 2011, at 4:31 PM, array chip wrote:
Hi, I am wondering if anyone can explain to me if cumulative
incidence (CI) is
just "1 minus kaplan-Meier survival"?
First tell us what you think CI is defined as. I suspect it is not the
same. The KM estimator is cumulative product of (alive
Hi, I am wondering if anyone can explain to me if cumulative incidence (CI) is
just "1 minus kaplan-Meier survival"? Under what circumstance, you should use
cumulative incidence vs KM survival? If the relationship is just CI =
1-survival, then what difference it makes to use one vs. the other?
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