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These new data was used in combination with mathematical modelling, allowing us to draw novel conclusions as to the mechanisms of NK cell education.
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Additionally, modeling allows us to assign exposures specific to biennially updated residential addresses for the entire period of follow-up.
The way that incidence is modeled allows us to explore the relationship between birth rates and the rate of coalescence.
ML modelling allows us to model individual responses while allowing for differences between the PCTs to also be modelled.
This modelling allows us to visualise the average patient and individual patients.
We aimed to produce a descriptive model allowing us summarizing data on adverse events statistically.
We developed a model allowing us to correct for chromosome dosage in subsequent analyses (see Methods).
We have developed two clinically relevant large-animal models allowing us to study the renal responses to sepsis.
We describe the generation of zebrafish ACTA1 nemaline myopathy models allowing us to investigate disease pathogenesis in vivo.
This model allows us to use additional statistical tests to check a hypothesis of heterogeneity presence in a DNA sequence.
However, using GEE models allowed us to analyze data from all 143 subject visits, and we identified several significant associations.
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