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When β 2 was set to 0.1 (Fig. 3a, b), TV, MS, MGS, and MSG had a similar RMS model recovery for model A, significantly smaller than smooth results.
In recessive genetic model, a significantly decreased risk was found for other cancers (OR = 0.81, 95% CI: 0.71 0.93, P = 0.748 for heterogeneity test; Table 2).
In this model, a significantly (P < 0.001) higher fraction of larvae survived MRSA infection following combined treatment, compared to that with cefuroxime and ticlopidine alone.
Again, in this model, a significantly higher basal level of Mmp13 expression in AP-2ε-deficient articular chondrocytes could be confirmed when we compared the sham joints of both genotypes.
Indeed, in the experimental autoimmune encephalomyelitis (EAE) model, a significantly augmented disease progression of Nr2f6 knockout mice establishes a critical and non-redundant functional threshold mechanism of NR2F6 for repressing Th17 cell pathology both in vivo and in vitro [ 57].
Of the covariates retained within the model, a significantly worse MDS-HSI summary score was seen, in descending order of association with quadriplegia, multiple sclerosis, Asian/Pacific Islander, age 65 74, Alzheimer's disease, age 85+, age 75 84, hemiplegia, fell within 180 days prior to the index MDS, tech school/some college education, and female.
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If an alternative model had a significantly better fit, this model was subsequently compared against further reduced models.
We found that the hierarchical models with nonlinear effects had significantly lower deviance information criteria values than the linear model (7,113 for the linear model vs. 6,487 for the final model) suggesting a significantly better description of the data.
If an alternative model had a significantly better fit (bold), this model was subsequently compared against further reduced models.
Approximate segmentation of this revised model suggests our best estimate model has a significantly larger tail volume (1.149 m3 versus ∼0.679 m3).
This analysis identified that a three rate class model had a significantly better fit than other models (see Methods).
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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