Estimated correlations between elementary effects and parameters (t = 4 weeks)

Estimated correlations between elementary effects and parameters (t = 4 weeks

Estimated correlations between elementary effects and parameters (t = 1 week)

Estimated correlations between elementary effects and parameters (t = 1 week

The elementary effects (mean and sdev) of each parameter on each variable (RData)

The elementary effects (mean and sdev) of each parameter on each variable (RData

Individual simulations, 4 weeks after perturbation

This RData file contains a table of all the simulations, 4 weeks after the perturbation. The columns encompass all parameters (prefixed with "p_") and all variables (prefixed with "v_"). The odd-numbered rows record the state of the model prior to the perturbation, and the even-numbered rows record the state of the model after the perturbation

Individual simulations, 1 day after perturbation

This RData file contains a table of all the simulations, 1 day after the perturbation. The columns encompass all parameters (prefixed with "p_") and all variables (prefixed with "v_"). The odd-numbered rows record the state of the model prior to the perturbation, and the even-numbered rows record the state of the model after the perturbation

Estimated correlations between elementary effects and parameters (t = 1 hour)

Estimated correlations between elementary effects and parameters (t = 1 hour

Individual simulations, 1 minute after perturbation

ions, 1 minute after the perturbation. The columns encompass all parameters (prefixed with "p_") and all variables (prefixed with "v_"). The odd-numbered rows record the state of the model prior to the perturbation, and the even-numbered rows record the state of the model after the perturbation

Estimated correlations between elementary effects and parameters (t = 1 day)

Estimated correlations between elementary effects and parameters (t = 1 day

Comparison of correlations between parameters and variables in the normotensive and hypertensive virtual sub-populations.

<p>For a given variable, the correlations with each parameter are plotted against the x-axis for the normotensive population, and against the y-axis for the hypertensive population (only correlations are shown). <b>A:</b> Mean arterial pressure (MAP). <b>B:</b> Cardiac output (QAO). <b>C:</b> Blood volume (VB). <b>D:</b> Rate of urine production (VUD).</p

Significant correlations between model parameters and three key output variables.

<p>Correlations are shown for mean arterial pressure (MAP), cardiac output (QAO) and rate of urine production (VUD), where and .</p