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The significance of these two test statistics was assessed using a randomisation test.
The significance of all gsi and gsiT statistics was assessed using 1000 randomization permutations.
The significance of these statistics was assessed with 1000 coalescent simulations.
As for stroke, the recorded coronary deaths in the mortality statistics were divided into subgroups according to whether the diagnoses were based on autopsy results or not, and the validity of the mortality statistics was assessed (Table 3).
The validity of the diagnosis of fatal stroke in the mortality statistics was assessed by comparing the mortality statistics for which diagnosis had been based on autopsy results with those for which it had not (Table 2).
Significance for all statistics was assessed (α < 0.05) using empirical distributions based on 10 000 replicates of the neutral coalescent conditional on the observed S and sample size, as described by Ramos-Onsins and Rozas (2002).
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The fit statistics is assessed through Infit and Outfit Mean Squares (MnSq).
Unknown parameters in the bond slip model and their statistics are assessed through a Bayesian approach using available data from the load testing of eight large-scale bridge column specimens constructed to study the effect of ASR on the bond behavior in the lap-splice region.
Descriptive statistics were assessed and are presented as frequencies, means, standard deviations, and confidence intervals.
Voxel- and cluster-level statistics were assessed using both FWE and FDR type I error control.
Descriptive statistics were assessed on practice member and patient characteristics, and ACIC and PACIC scales.
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