In critically analyzing their model by incorporating more plausible biology (allowing transient three-sided cells, re-examining the weights used to describe a random axis of division, and introducing a Markov process model for asynchronous division), we have consistently found significantly worse agreement with the "universal histogram".
After all, newly installed America Online Chief John Miller John Miller isn't even slated to present a revised business model for his division until December.
But as shown in NSW (2014, Table 2), if we run the standard panel data model for this division, we get a standard disemployment elasticity of about −0.19, which is statistically significant.
We specify a model for cell division that is nested within a model for tumor glands.
This probabilistic model for cell division has been used previously to study stem cell behavior in normal colonic crypts [12].
Compared to growth under a deterministic model for cell division, a probabilistic model with a higher numbers of CSCs will yield similar WG distance estimates.
Although this two-phase model for gland division is a useful approximation for how a tumor might grow, a smooth growth trajectory is likely more realistic.
The growth rate is also seen to play a role, but only under the deterministic model for cell division; under the deterministic model, higher WG distances are seen under faster growing tumors.
In Siegmund et al. [3], the model for gland division is divided into two phases, one for exponential growth (during the cell doubling phase), and one for no growth.
We therefore focus on the simplest version of the response threshold model that allows for division of labor, considering only two tasks and fixed thresholds during worker lifetime (Bonabeau et al. 1996).
