I am having trouble deciding on the right Stata command to estimate the
following ANOVA model:
----------------------------------------------------------------------
Animal 1 2 3 4 5
/ \ / \ / \ / \ / \
Location 1 2 1 2 1 2 1 2 1 2
/ \ / \ / \ / \ / \ / \ / \ / \ / \ / \
Neuron 01-03 04-06 07-10 11-12 13-15 16-18 19-21 22-24 25-27 28-30
----------------------------------------------------------------------
In this design, we have as sources of variation, different neurons
measured from the same location in the brain, different locations, and
different animals:
� = population mean
a = animal effect
l = location effect
n = neuron effect <- this might just be in the error
e = error
or the measure for a neuron Y = � + a + l + (n + e)
So I think I should have a fixed effect for location (we are interested
in the mean difference between locations and we assigned the locations)
and two random effects, one for animal, and one for replicate neurons
(random because we are not interested really in the mean differences
but just accounting for the variance and because they are animals or
neurons selected from a larger population, presumably with equal
probability). I am guessing I need to nest neuron in location and treat
animal as a random block effect, but at usual, can decide on the proper
test constructions.
