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Furthermore, it is shown that incorrectly specifying the model parameters by as much as 50% reduces the design efficiency to 50 90%.
For backward elimination the 1-step error rate for incorrectly specifying heterogeneous π was 6%, and for incorrectly specifying homogenous π was 14%, indicating a greater tendency towards too simple a model.
More importantly, increasing the sample size appears to have no impact on our primary conclusion that incorrectly specifying the copula model has little impact on the probability of correctly identifying the optimal dose regardless of the level of correlation between the two endpoints and the model from which the data are generated.
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Sample sizes required for a power of 80% increase from ∼800 subjects in the correctly specified models to over 6,000 or even 16,000 subjects in incorrectly specified models.
The allocations are robust against incorrectly specified regression responses, and against possible heteroscedasticity.
Second, the performance of filtering drops off when we incorrectly specify the variance of the sampling error, and especially when we overestimate it.
In the version of this article initially published, the final term in equation (2) in the Online Methods was incorrectly specified as xti.
The results of this comparison indicate that studies using an incorrectly specified model overestimate the importance of certain e-service quality attributes.
If these components are incorrectly specified, applying such count models could lead to incorrect hotspots.
Unfortunately this range was incorrectly specified and completely by accident it blocked access to some of Forbes servers!
Under an incorrectly specified model, i.e. when the approximation error does not vanish, analogous results are also shown.
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