I was speaking to a scientist who records electrical potentials from
living neurons (brain cells) in awake behaving animals. The sampling
rate is very high, such that 100s to 1000s of data points are available
per neuron, and 100 neurons are sampled per animal. There are never
more than 10 animals in an experiment, which could be a problem. The
levels of the treatment are each exposed to each animal or neuron. So
it's like a nested repeated measures ANOVA, but the sampling rate
suggests a time series analysis is more appropriate. What kind of time
series analysis _in Stata_ allows grouping of correlated measures in
addition to handling the autocorrelation problem? By grouping I mean
all the neurons in one animal are more similar than neurons between
animals, and cannot be treated as independent. I've read a little about
time series, but what I've read seems to describe following a sample of
experimental units through time, and doesn't talk about following
groups of correlated samples through time.
--
David C. Airey, Ph.D.
Vanderbilt University
Department of Pharmacology
8148-A Medical Research Building Three
465 21st Avenue South
Nashville, TN 37232-8548
(615) 936-1510 (voice)
(615) 936-3747 (fax) [email protected] http://people.vanderbilt.edu/~david.c.airey/
