This fills in some of the background science.
It seems to leave unclear:
1. Quite how demographic data are to be related to
individuals. More broadly, whether you intend fitting
individuals separately or together. My guess is
the latter, but it helps to spell things out.
2. Whether you have specific discipline-approved
growth curve functional forms in mind or are going
to use more general methods.
Even if you answer these questions, I will not be
able to add very much more, if anything, but others
might start tuning in and give you specific advice.
Nick
[email protected]
Joseph Wagner
> The research involves craniofacial skeletal growth measurements. The
> data consist of several angle measurements at junctions between bones
> and length measurements of specific areas of bone. We have
> demographic
> data as well. We get measurements (using x-rays) from individuals
> annually over their lifetime. We want to know at which point the
> greatest rate of growth occurs and the peak growth velocity for
> individuals and the mean for our entire sample. We also want to know
> the rate of bone recession in older persons.
>
> Nick Cox wrote:
> > It isn't obvious from this information alone that -gllamm-
> > is the only or even the best way to do it. That said,
> > there will be ways to get key properties of fitted
> > growth curves, even if only numerically. Quite how
> > will depend on what you do precisely, so better answers
> > might depend on further information.
> >
> > Nick
> > [email protected]
> >
> > Joseph Wagner
> >
> >
> >> I have data composed of yearly jaw xray measurements over a 20 year
> >> period. I wish to do some growth curve analyses of these
> >> data so I plan
> >> to use -gllamm- but I was wondering, is there a way to get
> >> the mean peak
> >> velocity and the mean peak height of the growth curve?
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