Events

Webinar series on efficient support of MIDD
IntiQuan is holding a series of free webinars based on IntiQuan’s R-based open source modeling & simulation platform
IQR Tools. The topics range from model representation over population modeling, both in the context of PK(PD) and QSP, to advanced clinical trial simulation, considering drop-out and compliance models.
You can register from the following webpage: https://training.intiquan.com

Efficient and reproducible non-compartmental analysis in R

On Tuesday, June 28th, 2022 (9:00 – 12:00 CEST), IntiQuan will present a 3 hour interactive webinar entitled “Efficient and reproducible non-compartmental analysis in R”. In this workshop, participants will learn to how to conduct non-compartmental analyses (NCA) in a script-based manner, using the open source and freely available IQnca R package.

Webinar series on efficient support of MIDD
IntiQuan is holding a series of free webinars based on IntiQuan’s R-based open source modeling & simulation platform
IQR Tools. The topics range from model representation over population modeling, both in the context of PK(PD) and QSP, to advanced clinical trial simulation, considering drop-out and compliance models.
You can register from the following webpage: https://training.intiquan.com

PAGE2020 Workshop on Advanced QSP Modeling in R

On Tuesday, June 9, 2020, IntiQuan will present a full day hands-on workshop on Advanced QSP Modeling in R. Special emphasis is put on the estimation of individual parameters based on clinical data, allowing to determine Virtual Subjects, Cohorts, and Populations in an estimation-based approach that is suitable even for large scale models and a large number of patients in the considered data. The ability to estimate such individual level parameters in QSP models has the potential to open up advances in diagnostics through the use of advanced statistical methods.

PAGE2020 Workshop on Population PKPD Modeling in R

On Tuesday, June 9, 2020, IntiQuan will present a full day hands-on workshop on PKPD/NLME modeling workflow from data exploration, parameter estimation, and reporting in the R environment using our IQR Tools R package. After the workshop, the participants will be able to set up their own PKPD/NLME workflow using IQR Tools to: explore the modeling dataset, perform parameter estimation in supported NLME tools, and evaluate parameter estimation results. Furthermore, participants will be able to generate a short report in Microsoft Word directly from the results generated in R.

Are you faced with complex drug and disease models? Heterogeneous experimental data? The need for adequate characterization of the available data? A drug discovery and/or development team that requires you to convince them that they can trust in your model’s predictions? => Then our ACoP10 Workshop is probably the right thing for you!

PAGE2019 Workshop on Reporting
On Monday, June 10, 2019, IntiQuan will present a half-day workshop entitled “Reproducible Pharmacometrics 2.0: Generation of submission-ready Word reports based on open source tools” . The workshop is designed as a hands-on tutorial. Participants will learn how to efficiently generate Microsoft Word reports, automatically including your analysis results (tables, figures, logfiles, etc.) and ensuring trace-ability – from report to code that generated a specific result and its storage location in the modeling and simulation archive. The generated Word reports can comply with any corporate Word style requirement.

As R itself is pretty powerful, it does not come right out-of-the-box with support for the efficient conduct of pharmacometrics or QSP modeling and simulation activities. In this workshop we present R based approaches that enable you to efficiently perform pharmacometric modeling & simulation analyses.

Learn how to efficiently generate Microsoft Word reports, automatically including your analysis results (tables, figures, logfiles, etc.) and ensuring trace-ability – from report to code that generated a specific result and its storage location in your modeling and simulation archive.