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Beginner's tutorial


Monolix code and results

Requirements     Case study 1      Case study2     Case study3          


MONOLIX (MOdèles NOn LInéaires à effets miXtes) is a free software dedicated to the analysis of non linear mixed effects models. The objective of this software is to perform:

1) Parameter estimation
- computing the maximum likelihood estimator of the parameters, without any approximation of the model
- computing standard errors for the maximum likelihood estimator,

2) Model selection
- comparing several models using some information criteria (AIC, BIC),
- testing hypotheses using the Likelihood Ratio Test,
- testing parameters using the Wald Test.

3) Goodness of fit plots

4) Data simulation

More information is available at http://software.monolix.org/sdoms/software/index.php?/objective.html#readmore

This section explains the procedure to develop a population PK or PKPD model for the problem given in case studies.

We have assumed the following things before any user uses this section:

o MONOLIX is installed on the PC.

A MONOLIX run requires the following

o Data file : User supplied text file containing all data for analysis.

o MLXTRAN Code: User-written and supplied modeling instruction file for MONOLIX. There are several built-in PK models that can we used without requiring the user supplied MLXTRAN code

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Modeling process

It is assumed that the following two steps are performed before proceeding to modeling.

o The project plan is specified apriori.

o Initial preliminary data analysis has been performed and rough initial estimates are obtained.

Click here for the step by step modeling process for Case study 1

Click here for the step by step modeling process for Case study 2

Click here for the step by step modeling process for Case study 3


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