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In the data analysis by multilevel modelling we took the cluster randomisation into account.
19 For ease of modelling, we took the "under 10%" cardiovascular disease risk group at 7.5% and the "over 30%" risk group at 32.5%.
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As an application of the model we took the spread of HIV in India into consideration.
To investigate the efficiency of the model, we took poly(lactic acid) (PLA) degradation fluid with degradation time varying from 1 to 120 days as the testing material.
In order for our analytical estimates to match the results of numerical simulations of the model, we took advantage of the computability of a PRC for the M L neuron.
Finally we investigated the plausible relationship between the results from model 5 and Cox's model: we took into account the simplified Waage's model which explained more than 50% of the variance (R2≥0.5).
In our model, we took into account autocorrelations of the prescribing patterns along the time period.
For our model we took the macromolecular biomass composition published in [ 20] (see Table 3 in Additional File 1).
In the model, we took "generation" as repeated measurement, and "treatment", "generation", and "treatment × generation" as fixed effects.
In our initial model we took age into account, expecting a relatively higher mortality among the elderly.
Because our measurement error correction methods rely on a correctly specified exposure model, we took care to choose the best-fitting kriging variogram to model our data.
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