[R-sig-ME] MCMCglmm: ixn between binary family-level factor and us() random effect
David Duffy
davidD at qimr.edu.au
Wed Feb 9 03:00:12 CET 2011
On Wed, 9 Feb 2011, Paul Johnson wrote:
> Hi Jarrod,
>
> I've now compared the correlations estimated in MCMCglmm from a similar
> model to the one below (4x4 family VCV in a single group, mother and
> father residuals fixed to zero) with correlations estimated using FISHER
> and they are similar enough to reassure me that they're measuring the
> same thing.
The advantage of FISHER is that it is "easy" [for a value of easy where
easy=using FISHER ;)] to do an ascertainment corrected analysis (using
asthma to indicate probands, and possibly asthma prevalence in the
population to allow for your presumed Weinberg case-proband type design).
Doing this is MCMC usually requires tricks, such as the
"ones" trick.
Just 2c, David Duffy.
--
| David Duffy (MBBS PhD) ,-_|\
| email: davidD at qimr.edu.au ph: INT+61+7+3362-0217 fax: -0101 / *
| Epidemiology Unit, Queensland Institute of Medical Research \_,-._/
| 300 Herston Rd, Brisbane, Queensland 4029, Australia GPG 4D0B994A v
More information about the R-sig-mixed-models
mailing list