Residual variance for mixed effects survival analysis
For Cox survival analysis there is no residual as part of the model, hence no residual variance. Ken
On 18 August 2015 at 02:01, Bradley Carlson <carbrae at gmail.com> wrote:
I'm working on an analysis of the amount of time it takes an animal to perform a behavior. This data is right-censored, as we stopped waiting after 10 minutes and simply had to record "10+ minutes" for any animals that didn't perform the behavior. The data is well suited for a Cox proportional hazards 'survival' analysis in this regard. However, I have multiple measurements of each individual animal (random effect) and would like to quantify the individual repeatability of the behavior in addition to the effect of covariates. In a typical LMM, this would be the (variance among random intercepts) / (variance among random intercepts + residual variance). I can fit a mixed effects survival analysis in the package 'coxme'. It provides a random effect variance, but no residual variance. Is it possible, given the mechanics of fitting an ME survival analysis, to get a residual variance? Thank you in advance! -- Bradley Evan Carlson Assistant Professor of Biology Wabash College, Crawfordsville IN Email: *carlsonb at wabash.edu* <+carlsonb at wabash.edu> Website: https://sites.google.com/site/bradleyecarlson/home [[alternative HTML version deleted]]
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*Ken Beath* Lecturer Statistics Department MACQUARIE UNIVERSITY NSW 2109, Australia Phone: +61 (0)2 9850 8516 Level 2, AHH http://stat.mq.edu.au/our_staff/staff_-_alphabetical/staff/beath,_ken/ CRICOS Provider No 00002J This message is intended for the addressee named and may...{{dropped:9}}