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The reduction of RUNX1 expression in high-grade tumors is highly significant (p-value = 3×10−13 for the Ivshina dataset and p-value = 2.5×10−9 for the Lu dataset by linear regression model analyses).
Association between platelet count and covariates were investigated by linear regression model.
The relationship between K6 score - the measurement of depressive symptom, and dietary folate intake level, was further assessed by linear regression model.
The validation and combined P values are calculated by linear regression model on the log-transformed ALP and adjusted for age and gender.
Reliability: The statistically significant miRNA species identified by linear regression model have met very stringent criteria, and therefore could be further examined for confirmation or validation in wet laboratories.
By linear regression model, we found IGF-1 levels may be related to preoperative CEA levels and tumour volumes with marginal statistical significance (P=0.07 and P=0.08, respectively).
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The test data are then used to fit degradation paths by linear regression models.
One of the limitations imposed by linear regression models is that they will underperform when used to model nonlinear systems (Gardner and Dorling 1998).
The heritability of inbred strains can be estimated by linear regression models with sex, strain and sex-strain interaction as independent variables.
There was no relationship between personal income and willingness to pay as demonstrated by linear regression models for circumcision (p = 0.99) or PREP (p = 0.58) respectively.
Associations were analysed by linear regression models.
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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