Re: Modeling of two time-to-event outcomes

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 [email protected] tel:+64(9)923-6730 fax:+64(9)373-7090 mobile: +33 64 271-6369 (Apr 6-Jul 20 2009) http://www.fmhs.auckland.ac.nz/sms/pharmacology/holford