In addition to the macros, model libraries are provided with Monolix. This simplifies the use of the software by decreasing the necessity of coding: usual models can be picked from the libraries and used directly.
These libraries provide all the classical pharmacokinetic and pharmacodynamic models. The pharmacometric models allows to model several types of administrations (IV bolus, infusion, zero and first order absorption), any number of compartment (between 1 and 3), several elimination process (linear and Michaelis-Menten), and to manage lag-time. In addition, some usual pharmacodynamical models are proposed.
The library of double absorption models implemented in Monolix takes into account all the combinations of absorption types and delays for two absorptions. The absorptions can be specified as simultaneous or sequential, and with a pre-defined or independent order. This library simplifies the selection and testing of different types of double absorptions.
An introduction to the TMDD concepts, the description of the library’s content, a detailed explanation of the hierarchy of TMDD model approximations, and guidelines to choose an appropriate model is proposed along with the model library.
The library contains a large number of TMDD models corresponding to different approximations, different administration routes, different parameterizations, and different outputs. In total 608 model files are available.
Time-to-event (TTE) model library
The mlxtran language allows to describe and model time-to-event data. An introduction on time-to-event data and the different ways to model this kind of data is given here. A library of typical parametric models is provided in Monolix.
Count model library
The mlxtran language allows to describe and model count data. A short introduction on count data and presentation of the count library available in the 2019 version is given.
Tumor growth inhibition (TGI) library
A wide range of models for tumour growth (TG) and tumour growth inhibition (TGI) is available in the literature and correspond to different hypotheses on the tumor or treatment dynamics. In MonolixSuite2020, we provide a modular TG/TGI model library that combines sets of frequently used basic models and possible additional features. This library permits to easily test and combine different hypotheses for the tumor growth kinetics and effect of a treatment, allowing to fit a large variety of tumor size data.