NONMEM Users Network Archive

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Re: Modeling of two time-to-event outcomes

From: Nick Holford <n.holford>
Date: Tue, 21 Jul 2009 22:08:21 +0200

Manisha,

It might be helpful if you could be more specific about what you mean by
correlated event times e.g. one could image that the time to event for
hospitalization for a heart attack and the time to event for death might
be correlated because they both depend on the the status of
atherosclerotic heart disease.

A parametric approach would be to specify the hazards for the two events
and include a common covariate (e.g. serum cholesterol time course,
chol(t)) in the hazard e.g.

h(hosp)=basehosp*exp(Bcholhosp*chol(t))
h(death)=basedeath*exp(Bcholdeath*chol(t))

The common covariate, chol(t), would introduce some degree of
correlation between the event times.

Nick


Manisha Lamba wrote:
> Dear NMusers,
>
> If anyone in the user group aware of approaches on developing
> semi-parametric or parametric models for (joint modeling of) two
> time-to-event endpoints, which are highly correlated?
> Any suggestions/references/codes(NONMEM, R etc.) would be very much
> appreciated!
>
> Many thanks!
> Manisha
>
>

--
Nick Holford, Professor Clinical Pharmacology
Dept Pharmacology & Clinical Pharmacology
University of Auckland, 85 Park Rd, Private Bag 92019, Auckland, New Zealand
n.holford
mobile: +33 64 271-6369 (Apr 6-Jul 20 2009)
http://www.fmhs.auckland.ac.nz/sms/pharmacology/holford
Received on Tue Jul 21 2009 - 16:08:21 EDT

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