The fraction of statistically significant P values across simulation runs is an estimate of empirical power because simulation runs that fail to identify statistically significant differences are technically Type II errors (since we assume β1 ≠ 0 in the simulation).
In HCC1954, it was the combination of both monoclonal antibodies, that failed in deactivating RPS6, while the simulations predicted trastuzumab alone to fail (Table 3).
Finally, our simulations indicate that failed curative attempts using dose densification, a common protocol escalation strategy, can reduce survival times.
*The three parts of the mouse ventricular myocyte data set separated according to the stimulus period were analysed separately, and only the simulations that did not fail were used.
For yet another example, Staffan Angere (2007, 2008) has argued, based on computer simulations, that the fact that coherence fails to be truth conducive, in the above sense, does not prevent it from being connected with truth in a weaker, defeasible sense.
Failing to address these issues can result in biased estimates of RUV and simulations that do not reflect observed data.
It is clear from the blackout cases that offline simulation studies failed to predict such complex system behavior and so much uncontrolled equipment tripping.
This was in spite of the fact that laboratory simulations had consistently failed to generate gas resembling natural gas [4 10].
An important barrier however is that simulation tools fail to accurately predict the actual energy consumption.
