- funded by IMI-JU
- 01 March 2011 - 31 August 2016
- 11 EFPIA members
- 10 Academia and 5 SME's
- Total cost € 23,032,609
| AMT |
Dose amount |
| BOV |
Between Occasion Variability (synonym for IOV - Inter-occasion variability) |
| CORR |
Correlation |
| COV |
Covariance |
| CTS |
Clinical Trial Simulation |
| CWRES |
Conditional Weighted Residual |
| DDMoRe |
Drug Disease Model Resources |
| DoW |
Description of Work |
| DV |
Dependent Variable |
| EFPIA |
European Federation of Pharmaceutical Industries and Associations |
| EMA |
European Medicines Agency |
| EPS |
Epsilon - Residual Unexplained Variability random effect |
| ETA |
Empirical Bayes prediction of the inter-individual random effect in a PK or PD parameter |
| FDA |
Food and Drug Administration |
| FIS |
Framework Integration Service |
| ID |
Individual |
| IDV |
Independent variable |
| II |
Inter-dose Interval |
| IMI |
Innovative Medicines Initiative |
| IMI-JU |
Innovative Medicines Initiative Joint Undertaking |
| IOF |
Interoperability framework |
| IPRED |
Individual Prediction |
| IWRES |
Individual Weighted Residual |
| MDL |
MDL is the Model Description Language (formerly MCL - Model Coding Language) the human writable and human readable language designed to describe pharmacometric models. |
| MDL-IDE |
Modelling Definition Language Integrated Development Environment |
| MDV |
Missing Dependent Variable |
| MIF |
Mango Integration Framework |
| MOG |
Modelling Object Group |
| NONMEM |
NONLinear Mixed Effects Modelling (see Names) |
| OBS |
Observed (value or data) |
| PD |
Pharmacodynamic |
| PharmML |
Pharmacometrics Markup Language |
| PK |
Pharmacokinetic |
| PK/PD |
Pharmacokinetic - Pharmacodynamic modelling |
| PRED |
Population Prediction |
| PROV-O |
Provenance Ontology |
| PsN |
Perl Speaks NONMEM |
| RDF |
Resource Description Framework |
| RUV |
Residual Unexplained Variability |
| sd |
Standard Deviation |
| SE |
Standard Error |
| SEE |
Stand-alone Execution Environment |
| SO |
Standard Output |
| TEL |
Task Execution Language. |
| TES |
Task Execution Server |
| var |
Variance |
| VPC |
Visual Predictive Check |
| WP |
Work Package |
| WRES |
Weighted Residual |
| XML |
Extensible Markup Language |
| Annotation |
A description attached to a model or element of a model: see RDF triple. |
| Bootstrap |
Bootstrap is a tool for calculating bias, standard errors and confidence intervals of parameter estimates. It does so by generating a set of new datasets by sampling individuals with replacement from the original dataset, and fitting the model to each new dataset |
| Connector |
A piece of software which enables modelling software to communicate with the interoperability framework |
| Converter |
A piece of software which enables translation across languages (e.g. mdl to pharmML |
| End-User |
A specific user role with privileges to manage only his/her own jobs queues, etc. |
| Extensible Markup Language (XML) |
An open standard for exchanging structured documents and data over the internet that was introduced by the World Wide Web Consortium (W3C). |
| Interoperability |
DDMoRe project is to provide the capability to define the model once and then use it across a variety of target software tools. We call this “Interoperability”. |
| MDL |
MDL is the Model Description Language (formerly MCL - Model Coding Language) the human writable and human readable language designed to describe pharmacometric models. |
| MDL-IDE |
Modelling Definition Language Integrated Development Environment |
| Metadata |
Metadata (metacontent) is defined as data providing information about one or more aspects of the data, such as:
|
| MLXTRAN |
The language used to define models that are executed with Monolix. |
| Monolix |
A software for the analysis of nonlinear mixed effects models |
| NM-TRAN |
The language used to define models that are executed with NONMEM. |
| NONMEM |
NONLinear Mixed Effects Modelling (see Names) |
| Ontology |
An organization of some knowledge domain that is hierarchical and contains all the relevant entities and their relations. |
| Pharmacometric Workflow |
Tracking the evolution of a model and associated inferences from initial model to final model, capturing metadata and annotations that will facilitate creation of a run record, audit log, QC and reproducibility of all steps within the workflow. Each step in the Pharmacometric workflow may consist of a Task Workflow which defines the procedural steps required to perform a sequence of tasks for a given model. |
| PharmML |
XML based exchange format for encoding of non-linear mixed effect models, trial design and modelling steps used in pharmacometrics. URL: pharmml.org |
| R |
R is a free software environment for statistical computing and graphics. |
| RDF Triple |
An RDF Triple is a statement which relates one object to another. It is composed of three parts: DDMoRe uses RDF triples to describe models held within the repository, for example: |
| Repository |
Another stated aim of the DDMoRe project is to provide a library platform for pre-competitive sharing of models - disease models, drug models etc. We call this library the “Repository”. |
| Standard Output (SO) |
Tool-independent exchange format intended for storage of results in standardised form, enabling effective data exchange within complex workflows as well as to support the user in assessing, reviewing and reporting a modelling step. |
| Task Execution Service (TES) |
Performs job-management within the Interoperability Framework. |
| Task Workflow |
A sequence of tasks and procedural steps which can be captured in a scriptable language, like R, facilitating reproducibility of the outputs for a given set of inputs. |
| WinBUGS |
Windows implementation of the BUGS (Bayesian Inference Using Gibbs Sampling) project, concerned with flexible software for the Bayesian analysis of complex statistical models using Markov chain Monte Carlo (MCMC) methods. |
© 2012 - 2016 | DDMoRe, all rights reserved. 
Support was received from the Innovative Medicines Initiative Joint Undertaking under grant agreement n° 115156, resources of which are composed of financial contribution from the European Union's Seventh Framework Programme (FP7/2007-2013) and EFPIA companies’ in kind contribution. The DDMoRe project is also financially supported by contributions from Academic and SME partners