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Therefore, here the options presented by the menu is replaced with suitably labeled FixedButtons and replace Action class methods with event handlers.
We implemented the target finding process as a hybrid model mixing agent-based methods with event driven stochastic simulation algorithms (Gillespie, 1977).
There is no method described in the literature for an exact power calculation for multivariate statistical methods with event times as the endpoint and equivalence as the main question of the analysis.
The answer to the second question concerning the difference between the risk assessment groups will probably be answered since the sample size was calculated rather generously due to lack of an exact power calculation for multivariate statistical methods with event times as the endpoint and equivalence as the main question of the analysis (see above).
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The RFID technology was configured to read continuously, using an asynchronous reading method with event listeners (callbacks).
Using a precipitation weighted regression method with event-based data (especially precipitation-weighted reduced major axis regression, PWRMA) is generally consistent with the OLSR regression using monthly data.
The use of quantitative evidence synthesis methods with adverse events specifically in mind has been considered some time ago [ 3], but there is little empirical information collated on meta-analytic approaches within adverse event meta-analyses.
However, few studies have established whether the signals produced by automated monitoring methods correspond with events considered by epidemiologists to be of public health importance.
These models are fitted using the same basis as standard approaches, with two exceptions: (1) a cluster effect is used to adjust the standard errors because patients are repeated in the study, and (2) the analysis is stratified – with the exception of the independent increment method – with the event type (for competing risks) or number (for recurrent events) defining the strata.
However, both these methods tend to underestimate follow-up, and a more robust measure is based on the reverse KM estimator (Schemper and Smith, 1996), that is the KM method with the event indicator reversed so that the outcome of interest becomes being censored.
Before describing our results in detail, we compare our method with the event identification approach by Dong et al. [38], as well as with the event type classification approach described by Young et al. [20] in the next subsection.
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