Susan,
What kind of dependent variable do you have in your model?
If you are doing a PK analysis then my guess its probably not worth the
effort to see if tumour type is a covariate unless you have lots and
lots of patients with each tumour type (e.g. 100/tumour). A more
informative covariate might be a performance score like ECOG which you
might have in most patients without having to consider a wide spectrum
of tumour types.
If you are doing something more interesting like looking at tumour size
and response to treatment then you may be able to pool the tumour types
into groups based on biological origin and perhaps learn something about
tumour growth. See Tham et al. 2008 for an example of a tumour growth
model.
Best wishes,
Nick
Tham LS, Wang L, Soo RA, Lee SC, Lee HS, Yong WP, et al. A
pharmacodynamic model for the time course of tumor shrinkage by
gemcitabine + carboplatin in non-small cell lung cancer patients. Clin
Cancer Res. 2008;14(13):4213-8.
Hudachek,Susan wrote:
Greetings All! Does anyone have any suggestions on how to add in cancer type
(roughly 10 different tumor types) as a covariate? Thanks for any and all input!
Susan
Susan Hudachek, M.S., Ph.D.
Animal Cancer Center
Veterinary Teaching Hospital
Colorado State University
300 West Drake Road
Fort Collins, CO 80523-1620
PHONE: (970) 219-7599
FAX: (970) 297-1254
EMAIL: [EMAIL PROTECTED]
--
Nick Holford, Dept Pharmacology & Clinical Pharmacology
University of Auckland, 85 Park Rd, Private Bag 92019, Auckland, New Zealand
[EMAIL PROTECTED] tel:+64(9)373-7599x86730 fax:+64(9)373-7090
http://www.fmhs.auckland.ac.nz/sms/pharmacology/holford
