Residual variance for mixed effects survival analysis
It would seem odd to me if there have been no models for this situation with analogues of extra-binomial variation and some sort of time series structure, although such a model might not be termed "Cox" modeling. regards, David -----Original Message----- From: R-sig-mixed-models [mailto:r-sig-mixed-models-bounces at r-project.org] On Behalf Of Bradley Carlson Sent: Tuesday, August 18, 2015 12:39 PM To: Ken Beath Cc: r-sig-mixed-models at r-project.org Subject: Re: [R-sig-ME] Residual variance for mixed effects survival analysis I feared that might be the situation - thanks for confirming. I'll be toying with some creative options then. Thanks again, Brad
On Mon, Aug 17, 2015 at 7:26 PM, Ken Beath <ken.beath at mq.edu.au> wrote:
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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