In order to evaluate whether STS classification bears potential biologic or therapeutic implications, we estimated the probability of activation of known oncogenic pathways in individual samples, using validated gene expression "read outs" previously generated in vitro as a result of controlled experimental activation of these pathways.
Then, the gain of an implication is estimated in terms of reduction in fault detection probabilities of gates along an implication path.
To ensure parsimonious inference we thus apply normalizing transformations where possible (listed in Table 1), with the implication that estimated effects for, e.g., body weight combine additively on the log scale but multiplicatively on the original scale.
Our findings clearly have implications for estimating such earnings equations.
This has implications for estimating the probability of events.
We find that our methodology has implications in estimating the onboard power generation for contoured platforms.
Results obtained in this study may also have technological implications for estimating possible mechanical damages induced by the fabrication processes of making the AlN-based devices.
These findings have important implications for estimating sea duck abundances as the discretized lognormal is a more skewed distribution than the Poisson and negative binomial, which are frequently used to model avian counts; the lognormal is also less heavy-tailed than the power law distributions (e.g., zeta and Yule Simon), which are becoming increasingly popular for group size modeling.
Finally, we discuss the implications for estimating the case-fatality proportion of this infection in Mexico.
This has important implications for estimating the overall regional diversity (γ-diversity) but also suggests the presence of high biogeographic complexity in the Mediterranean.
