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This test was conducted by evaluating whether the interaction term between group membership and trait level was significant at a confidence level equal to 0.0083 (=0.05/6).
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We evaluated whether the interaction of INR and lower estimated glomerular filtration rate (eGFR) increases hemorrhage risk and whether patients with lower eGFRs experience slower anticoagulation reversal.
Furthermore, to evaluate whether the interaction is direct, an in vitro protein isolation was performed using E. coli expressed and purified full-length OGT incubated with E. coli expressed HT-TET2CD or HT alone control covalently bound to resin.
Finally, the quality of this homology model was tested by using it as a rigid receptor in protein-ligand docking experiments with known hIKK-2 inhibitors and evaluating whether the docking poses reproduced the interactions described in the literature as important for kinase inhibitors, specifically, those with key residues in the hIKK-2 ATP binding pocket [13], [14], [44], [45], [53], [58], [59].
Interaction analysis was conducted for evaluating whether the covariates are confounders.
Furthermore, to evaluate whether this interaction was direct or indirect, we immunoprecipitated recombinant Flag-tagged PHD1 in the presence of recombinant p53.
We calculated FPRP to evaluate whether the observed significant interactions between tibia lead and both HMOX-1 and the number of the gene variants might be false positives (data not shown).
In order to evaluate whether the Targeted peptide inhibited the interaction between GIPC1 and Syx, NRP1, GIPC1, and Syx vectors were transfected and expressed in HEK293T cells and these cells were then treated with the Targeted or Scrambled peptide for 16 h.
When we meet someone new, especially a potential partner, we are evaluating whether this initial interaction is positive or negative.
We also evaluated whether the methods detect false positive interactions when there are only main effects.
Models will include terms for intervention group, time and the group by time interaction to evaluate whether the three groups differ in changes in mean LAZ across time.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com