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since α and A are independent, yielding f αA (α, A) = f α f A (A).
We computed the likelihood by assuming that the N neurons were independent, yielding: p (r | b ) = ∏ i = 1 N p (r i | b ) Next, we used a parametric approximation for the likelihood function of each neuron.
This approach is virtually model independent, yielding essentially the same results when interpreted using steady state or nonsteady state assumptions and either a one- or two-compartment model (13).
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Meta-analytic techniques were applied to 50 independent studies yielding performance data.
The molecular weight intrinsic viscosity distributions were measured for forty-four independent samples yielding MHKS constants of 1.67×10−5 dl/g and 0.74 for K and α respectively.
To collect data for a similar number of runs of starved cells, we analyzed 40 starved cells from 7 independent movies yielding information on 1645 pseudopodia in 257 runs.
In this study, eight out of 27 top up-regulated transcripts (P<0.01, and >10-fold) were pre-validated using an independent cohort, yielding a validation rate of 29.6% that is similar to one of our previous study for pancreatic cancer (validation rate, 24.5%) [34].
Two independent experiments yielding similar data were conducted.
The data shown originate from at least two independent experiments yielding consistent results.
Only those independent variables yielding a significant association (p = 0.05) are kept for further multivariate analyses.
Assume that we have a set of n independent microarrays yielding a response vector y g T = y g 1,…, y gn for the g-th gene.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com