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Download

** Model used in : ** M. Prague, C. Commenges, J. Guedj, J. Drylewicz and R. Thiebaut. NIMROD: A Program for Inference via Normal Approximation of the Posterior in Models with Random effects based on Ordinary Differential Equations. (Submitted)

-----> Download here : PK1.zip

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Mathematical model (ode.f90)

with

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Observational model (observationModelSpe.f90)

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Statistical model (parameterTransformation.f90)

All parameters are observed in log transformation. There is no additional covariates.

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Data (inAndOutUser.f90 / pk.txt)

Data must be in this shape : "id" "time" "Cp" "dose(t=0)" (See the pk.txt file) If user want to account for multiple dosing, program must be modified. The input file used in this example is constituted of simulated data with :

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Priors (Input.txt)

Priors are choosen in accordance with the litterature with rather small standard deviation for V0 to avoid the flip-flop paradox.

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Results

** Intermediary outputs **(Output_nb.txt)
** Iteration Summary** (Summary.txt)
** Parametric Empirical Bayes parameters values **(PEBParameters.txt)
** Parametric Empirical Bayes Biomarkers Trajectories ** (PEBTrajectories.txt)
** Data Fit Plots** (./graphics)