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Because the standard errors of the parameter estimates for the wood property models are available along with the root mean square errors for these models, techniques such as Monte Carlo simulations can be used to estimate the magnitude of the prediction error when these models are combined.
This was expected because the standard errors with the BV approach are downwardly biased [ 23].
Generally, however, this identification solution is not advisable, because the standard errors of the parameters blow up if the discrimination parameter chosen for the identification is poorly identified.
However, because the standard errors of regression coefficient estimates for the original Framingham-initial equations were not provided in Wilson et al. [ 4], thus they were not included in these calculations and the actual p-value might be slightly bigger.
The fixed effect inverse-variance weighted estimate was also strongly influenced by centers with high number of patients or events, because the standard errors of the cluster-specific estimates depend heavily on the number of patients and events.
However, we are cautious in the interpretation of these selection patterns because the standard errors for the genetic and environmental selection gradients were overlapping when using the bivariate approach (i.e. the difference was non-significant, Table 2).
Similar(53)
The results demonstrated high reproducibility because the standard error was low (11.24).
A Log transformation of the expression data was then performed because the standard error values showed that the standard error increased in proportion to the treatment.
The model for the repeated attempts has enabled us to identify the effect of the trial outcome in the missing data model because the standard error of β ^ 2 is acceptably small.
This because the standard error of the difference is based on a bootstrap estimate that should account for the complex form of dependence possibly induced by matching, that cannot be easily specified.
Once these measures have been determined, any desired precision can be obtained by running a proper number of independent simulations, because the standard error decreases with the square root of the number of independent samples.
More suggestions(15)
because the decoding errors
because the standard tests
because the various errors
because the standard defines
because the systematic errors
because the many errors
because the standard tools
because the maximum errors
because the standard semantics
because the computational errors
because the relative errors
because the only errors
because the standard processes
because the alignment errors
because the standard error
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