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Estimates were computed using the inverse-probability-weighted estimator (IPWE) (Zhang et al. 2013) and confidence intervals using the non-parametric bootstrap.
These estimates were computed using a counterfactual exposure scenario, which implemented the G-computation method as described by Fleischer et al. (2010).
Sensitivity and specificity estimates were computed for the validity analysis.
All estimates were computed at the individual participant level.
In response to our third research question, TIMSS 2011 reliability estimates were computed for each country.
The class probability estimates were computed using the option "−b" of LIBSVM [65].
The estimates were computed with the help of the statistical software Stata 12.
For studies involving comparisons between poor sleepers and healthy controls, effect size estimates were computed for task-relevant dependent variables.
Latitude and longitude standard error estimates were computed before the data month of October 2002 and full error ellipses after.
After this, in Section 2.2 we explained how these isophote orientation estimates were computed using the linear structure tensor.
Similar divergence estimates were computed considering the two groups identified by the Structure analysis, since the FST value was equal to 0.49.
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