I have a small dataset (n=12 children) with time to event data for each eye
(24 eyes). There are 2 subgroups (of the eyes), group 1 has less severe
disease, group 2 has more severe disease. A child can have any combination
of these (eg left eye more severe, right eye less severe, etc).
I can use sts test to test for difference in time to event between the 2
groups (using n=24 eyes) but this does not take into account the clustered
nature of the data.
Is there any way I can do a log-rank test which takes into account the
clustering?
Thanks
Susan Donath
Senior Research Fellow
Clinical Epidemiology and Biostatistics Unit
Murdoch Children's Research Institute & University of Melbourne Department
of Paediatrics
Royal Children's Hospital
Parkville, Vic. 3052. AUSTRALIA
E-mail: [email protected]
Tel. 9345 4742 Fax 9345 6000
All numbers area code 03 or international prefix +6