Sentence examples for model predicted mean from inspiring English sources

The model predicted mean lifetime discounted costs per patient of about five thousand pounds (Table 3).

Simulation performed based on the developed population PK-efficacy model predicted mean reductions in HbA1c levels from baseline following administration of 25 mg q.d.

The initial PBPK model predicted mean AUCR (PP T3) of 1.8, mean Cmax ratio (PP T3) of 1.6, and mean Cmin ratio (PP T3) of 2.3, as compared with the observed values of 3.1, 2.1, and 6.3, respectively.

The model predicted mean CL/F (95%% predicted CI) increased by a factor of approximately 1.8, from 16.6 L/h (0, 36.9) to 30.3 L/h (9.13, 51.5), when the CLCR increased by a factor of approximately 20 indicating that a considerable change in CLCR is needed to have an impact on CL/F.

If PD is present, our model predicts mean nursing care costs of €7,0144 (n = 24, SD: €13,4755).

The coefficients of the model predicting mean UK utility from the mean Spanish utility had a β0 close to 0.0 and a β1 close to 1.0.

Given that PD occurs within the individual multimorbidity pattern, the model predicts mean total costs of €11,0422 (n = 24, SD: €14,2166) with no further split.

Our model predicts mean undiscounted lifetime costs for patients after the first ever IS or TIA of about 46,000 € and, therefore, slightly lower than those previously reported by Kolominsky-Rabas with 50,507 €.

Both models predict mean reaction rates which can be more than twice as high as the maximum rate under optimum steady state conditions.

And uncertainties in near-term climate change, with a rising potential for high-impact lower-probability events to cause abrupt heating (like non-human methane emissions in the arctic taking off more quickly than models predict), means that ignoring the near-term climate for too long could ultimately prove fatal to all our best intentions.

For this model, the predicted mean and covariance are computed using Equations 2 and 3. To make state transition function linear and noise additive and Gaussian, Δ v is modeled as a Gaussian that is independent of state and measurement value (overline {Delta theta }_{t}).