R-beta: repeated measures GLM binomial data?

[Troels Ring]

Dear friend. I think it can be done using a generalized liniear mixed model -
implemented for instance in genstat:

read Y
.5 .6 .1 .2
.7 .8 .2 .3
.8 .9 .3 .4 :
units[nval=12]
factor [lev=3] a
factor [lev=2] b
factor [lev=2] sub
generate a,b,sub
print a,b,sub,Y

glmm[distrib=bin;random=sub;fixed=a*b] Y;nbin=100
vplot
vdisplay[print=wald]

This produces totally plausible output to the toy example.
A reference could be to Breslow and Clayton, ASA 88: 9 ff 1993
hope this could help-
Troels

Bill Simpson skrev:

> I don't know much about GLM in general or glm in R. Can anyone tell  me
> how to do the following (in R or some other stat system) or refer me to a
> textbook discussion?
>
> Two factor ANOVA repeated measures design.
> Each subject gives a percent correct.
>
> I am assuming the correct way to proceed is to fit a generalized linear
> model with binomial responses and logistic link. But I have not found a
> detailed discussion of this in either McCullagh & Nelder or Dobson.
>
> Here is a toy example. Each datum is proportion correct out of 100
> trials for one subject:
>         b1      b2
> a1      .5,.6   .1,.2
> a2      .7,.8   .2,.3
> a3      .8,.9   .3,.4
> (2 subjects)
>
> How does the analysis proceed?  Thanks very much for any help.
>
> Bill Simpson
>
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