Question about random effects

If the random effect reflects the design of the study then it should remain
in the model.

ir. Thierry Onkelinx
Instituut voor natuur- en bosonderzoek / Research Institute for Nature and
Forest
team Biometrie & Kwaliteitszorg / team Biometrics & Quality Assurance
Kliniekstraat 25
1070 Anderlecht
Belgium

To call in the statistician after the experiment is done may be no more
than asking him to perform a post-mortem examination: he may be able to say
what the experiment died of. ~ Sir Ronald Aylmer Fisher
The plural of anecdote is not data. ~ Roger Brinner
The combination of some data and an aching desire for an answer does not
ensure that a reasonable answer can be extracted from a given body of data.
~ John Tukey

2016-05-23 17:13 GMT+02:00 Adriana Maldonado Chaparro <
maldonado.aa at gmail.com>:

Greetings,

I want to ask for advise on the following issue:
I fitted a mixed model where I'm trying to explain variation in Litter Sex
Ratio as a function of social network position. In this model the random
effect, individual identity, explained none of the variance, and one of the
reviewers argued that I should exclude it from my model because of these
reason. I think I should keep it because I have repeated measures. What are
your thoughts on this matter?

Thanks in advance,

Adriana Maldonado
Postdoctoral Researcher

        [[alternative HTML version deleted]]

_______________________________________________
R-sig-mixed-models at r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models