Your English writing platform
Discover LudwigSuggestions(1)
Exact(1)
†Interaction terms tested with 2003 as reference.
Similar(59)
The most sensitive search strategy in DARE, with the terms tested here, used a combination of text words in the title and abstract, a MeSH term and 'floating' subheadings (see figure 4).
Enrichment of GO terms was tested with Fisher's exact test, using the Bioconductor package topGO version 0.9.7 [ 58, 59].
The significance of the random effects terms was tested with a modified likelihood ratio test by comparing the null hypothesis σu = 0 against the alternative hypothesis σu > 0 ([ 25, 26]).
The relative increase in the Kxx term was compared to the relative increase in the Kyy term and tested with a paired t-test.
Such interaction terms were therefore tested with each variable that, on its own, was significant at P < 0.15.
Long term memory was tested with the same cohort 11 days after training and like the 4 day test showed no difference (WT: 47.63 ± 4.60%, KI: 53.08 ± 6.60%).
The metabolic pathways and cellular processes were represented by MapMan categories [ 54] and visualized with PageMan Software [ 53]; GO term enrichment was tested with topGO [ 58, 59].
Options for response scale anchor terms had also been tested with patients and there was a strong preference expressed for the endorsement type anchors (i.e. "strongly disagree" through "strongly agree") over frequency type response anchors (e.g. always, sometimes, never).
We performed long-term tests with Ni-Ru/CGO.
Short-term tests with varying EBCTs in the first filter stage revealed a high degree of system robustness of TOrC mitigation when confronted with sudden hydraulic load variations.
Write better and faster with AI suggestions while staying true to your unique style.
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