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Because of the explorative character of the study no correction for multiple testing was used, since type II error was preferred over type I error.
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For the figures, standard errors were preferred to standard deviations.
The modified Poisson regression model, a model that uses a robust error variance, was preferred to avoid under estimation of the standard errors for the estimated risk ratios that is usually the case with logistic regression modelling when the prevalence of the outcome is greater than 10%% [ 17, 18].
Pre-mixing of the magnesium sulphate infusion was preferred to minimize the risk of dosage errors.
A backward method was preferred to a forward method to minimize risk of Type II error, due to exclusion of predictors involved in suppressor effects [ 36].
A random effect model was preferred over a fixed effect model in order to account for differences in both effect size and sampling error.
In real world, nodes with smaller error norm are preferred for a fast convergence.
Determining which ratio of type 1 to type 2 errors should be preferred is not obvious; here, we used a second, independent simulation to find which ratio of type 1 and type 2 error rates would maximize power to detect an association between autozygosity burden and a simulated phenotype.
"Error first model" is preferred for the modeling and definition of geometric errors of rotary axis.
Therefore, a reliable method that achieves the above goal and that is tolerant to measurement error and noise is preferred.
As the attained significance levels of the test introduced by Begg and Mazumdar often deviate greatly from the nominal level, modified rank correlation tests, improving the error rates, should be preferred when testing for publication bias assuming fixed effects meta-analysis.
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