The MONOLIX software

NEW: MONOLIX 2.3.1

MONOLIX 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,

---

Several stochastic algorithms are used in MONOLIX: stochastic approximation of EM (SAEM), Importance Sampling, MCMC, Simulated Annealing...

Using C++ powered MEX files enables MONOLIX to manage complex ODE's defined models.

Theoretical properties of the proposed algorithms and practical applications were published in several papers.

MONOLIX 2.3 is a MATLAB software. If you don't use MATLAB, you can download MONOLIX 2.3C which is a stand-alone executable version of MONOLIX 2.3 and does not require MATLAB.

---

MONOLIX 2.3 proposes several new features mainly dedicated to PK/PD applications:

• PK/PD libraries,  
• single dose, multiple doses and steady state PK,
• models defined by differential equations,  
• left-censored data,
• PK-PD models,
• data in NONMEM format
• goodness of fit plots

---

 

This software was developed by Marc Lavielle (INRIA Saclay) and Hector Mesa, with the valuable help of several members of the MONOLIX Group.

The solvers package was developed by Kaelig Chatel (INRIA Saclay).

MONOLIX 2.3 was developed with the financial support of Johnson & Johnson Pharmaceutical Research & Development, a Division of Janssen Pharmaceutica N.V.

This collaboration was initiated thanks to Vladimir Piotrovskij and his interest for Monolix and the SAEM algorithm.