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GWAS using the appropriate analysis model enabled us to identify several SNP markers significantly associated with QTL.
The use of a multilevel model enabled us to further account for unexplained variation and clustering across hospital trust sites.
The use of this neuronal model enabled us to assess endogenous DOP receptor trafficking in a non-transfected, non-immortalized model.
This analysis using dynamic logistic regression model enabled us to assess the full effect of adherence on mortality without confounding from factors on the causal pathway.
Although these limitations may have diminished our ability to detect modest associations with postnatal exposure to PCBs, the use of a pharmacokinetic model enabled us to retrospectively investigate early PCB exposures in a cohort with no measured levels in infancy.
A combination of the measurement of the current and voltage waveforms outside of the apparatus and calculation using the electrically equivalent circuit model enabled us to derive the impedance Zp of the plasma-filled capacitor.
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The use of such a model enables us to simulate the entire pullout process.
This cell-based model enables us to study pathways that cells use to exit a DNA damage checkpoint, enter mitosis with damaged DNA and, in some cases, survive.
The above ODE model enables us to generate simulated time course data using the initial conditions, and.
Analysis of the probe signals in terms of this model enables us to define unbiased (in the frame of the hybridization model used) measures of RNA integrity.
Therefore, this model enables us to unravel the neurobiological mechanisms involved in loss of control over substance use.
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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