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Currently, growth rates are calculated as the linear regression log(cell_count + 1) ~ a + b * time
, but this is a very high variance estimate when the sample count is low. A prior or regularization of some kind on the coefficients would make global analysis simpler.
It may also be worth using pooled/hierarchical models across apartments/chips, but that would likely depend on publication plans (otherwise, a slightly more biased single apartment growth rate estimator would probably suffice).
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