Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at statalist.org.
[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]
[no subject]
If you graph the CIF of cancer recurrence by age, older patients have a lower incidence of recurrence.
That looks good for older people until you graph the CIF of death - older patients have a higher incidence of death. Since death competes with recurrence, this makes the older patients look better on the recurrence CIF, but it's because they're dying before they get a chance to have recurrence. Doesn't look so good for older people any more.
You need to look at both outcomes in order to disentangle the competing events and understand what's actually going on. By selectively presenting one outcome you're not telling the whole story.
Phil
On 05/09/2013, at 6:37 AM, Nicole Boyle <[email protected]> wrote:
>> I went to a talk by Jason Fine last year and he gave the following general advice:
>> - use a Cox model for each of the competing outcomes (in your case infection & death)
>> - use a Fine-Gray model for each of the competing outcomes
>> - present all of those results
>
> Thanks for the advice! What's the utility of presenting model results
> for the outcome of death if death is not an outcome of interest in my
> study? Feel free to direct me to a paper if you'd like.
*
* For searches and help try:
* http://www.stata.com/help.cgi?search
* http://www.stata.com/support/faqs/resources/statalist-faq/
* http://www.ats.ucla.edu/stat/stata/