[R-sig-ME] Residual variance for mixed effects survival analysis

[Farrar, David]

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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>
>
>
> --
>
> *Ken Beath*
> Lecturer
> Statistics Department
> MACQUARIE UNIVERSITY NSW 2109, Australia
>
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