Using the t-test, we also calculated p-values for the values of w observed at firing as generated from reliable spikes and unreliable spikes, and the standard deviation of the firing times for different subgroups of reliable SEEs, as shown in Sects.
Additionally, in this test we also calculated grade:i.e., the proportion of contacts each agent had with a 'mate' object, divided by the 'mate' object frequency.
As a further sensitivity test we also calculated a time tree from a data set excluding aplacophorans; the topologies are congruent and node ages almost identical, confirming general time estimates (not shown).
These unadjusted survival probabilities were compared using the log-rank test; we also calculated unadjusted hazard ratios (HRs) with 95% confidence intervals for these categories with BMI 18.5 – 25 as the reference group.
Using the correspondence test, we also calculate the net discrimination in callbacks between first generation and Italians, second generation and Italians, and finally, between first and second generation by ethnic origin.
For a more accurate estimate of the test error, we also calculated 95% confidence intervals for the cross-validation accuracies of the modules.
The actual numbers of interviewed persons (controls) were used for the calculations of 95% confidence intervals (95% CI) for the estimates, using the formula: eIn risk ± 1.96*√ (1/cases+1/conTools) To adjust for possible confounding and test for interaction, we also calculated odds ratios (OR) with corresponding 95% CI for the same exposures with a logistic regression model.
As GPs can order more than one test on a single request form, we also calculated the average number of laboratory tests ordered on each GP request form in the years between 2005 and 2008.
To assess the robustness of our results, we also calculated test statistics after deleting chimp from T, so that T− consisted of the human lineage alone (from the macaque human ancestor to modern humans).
To test classification on heterogeneous data, we also calculated the F-measure on sequences from all families combined (ALL) using the weighted average F=∑ i, j n i, j F i, j / n, where n=∑ i n i.
