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The analysis was performed using the ade4 library [29] in the statistical software R. From this analysis, we also computed a measure of how each lineage has diverged from the ancestral lineage.
In additional analysis, we also computed the mean absolute differences to estimate absolute differences without taking random variation into account.
In a secondary analysis, we also computed ORs comparing the highest versus the lowest quintile of each genetic risk score to illustrate the differences in outcomes between the extremes of the BMI or height allele score distributions.
In a post hoc analysis, we also computed NPVs for PSA ≤50 μg/L regardless of antiresorptive therapy or bone scintigraphy, assuming that this new algorithm (PSA ≤50 μg/L and no antiresorptive therapy or bone scintigraphy together with PSA ≤50 μg/L and antiresorptive therapy or bone scintigraphy) was not an indicator of bone metastases.
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In order to confirm the results obtained by the analysis of the covariance function, we also computed the autocorrelation function of the Minkowski functionals in the three main directions.
We also computed this analysis for the Classes I and II patients together (n = 133).
In an analysis restricted to the cancer patients, we also computed RRs to assess the association between VTE risk and cancer site, stage and initial treatment, adjusting for age, sex, county and comorbidity using colon cancer as a reference group.
We also performed this analysis using Spearman's correlation coefficient computed for each gene.
We also use cash flow analysis.
We also had a more qualitative analysis.
The pyramid-scheme analysis also shows why we should not expect much from proposed reforms.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com