Dear all,
Module 2 of the webinar series on *"Efficient Support of Model Informed
Drug Development (MIDD) in R" *is now open for registration.
Announcement: https://www.intiquan.com/middseries1/
Registration: https://training.intiquan.com/
*More information:*
Module 2 is split in 4 occasions, focusing on the following topics:
- M2.1: Single general dataset format
- Used for NONMEM, MONOLIX, and NLMIXR - no manual recoding required
- Containing metadata allowing to easily generate report ready
statistical summaries and graphics that any analyst would like to see for
any project
- M2.2: Basic NLME PK, PKPD, and ER modeling
- Definition of a user friendly, powerful, flexible workflow
description of NLME parameter estimation tasks
- Workflow is independent of NONMEM, MONOLIX, etc. - it simply allows
to describe what you want to do
- Execution in the parameter estimation tool of choice (right tool
for the right task) behind the scenes.
- Automatic post processing of estimation results in report ready
format - providing all the key tables and plots automatically --- rather
than having to manually post process all results.
- Many examples will be given that can be directly applied in real
life projects.
- Comprehensive PK model library provided simplifies getting started
as well
- M2.3: Advanced NLME PK, PKPD modeling
- Some more complex examples
- VPCs, pcVPCs, bootstraps, covariate analysis in the aera of EM
estimation methods
- Full workflow examples - showing how full modeling projects can be
scripted from the beginning to the end - considerably improving
reproducibility, compliance, handling data updates at a late
project stage,
etc.
- M2.4: Exposure-Response models
- Considering both NLME based modeling (continuous observations) and
R based modeling (categorical observations)
- Focus again is on a smooth transition from available data in a
standard format to executed models with the right diagnostics
and a minimum
of manual post-processing.
In order to get most out of Module 2 it is suggested that you have
previously participated in Module 1.1. For those who missed Module 1.1, the
recording is available from the link below.
- *Structural models: * https://training.intiquan.com/MIDDmodules/M1.1.mp4
Other parts of Module 1 are available as well - but their knowledge is not
necessary for Module 2:
- *Simulation: * https://training.intiquan.com/MIDDmodules/M1.2.mp4
- *Parameter sampling: *
https://training.intiquan.com/MIDDmodules/M1.3.mp4
- *Population simulation: *not yet available
Best wishes,
Henning on behalf of the IntiQuan Team
________________________________________________________________________________
Henning Schmidt, PhD
Managing Director
IntiQuan GmbH
Elisabethenstrasse 23 [see map] https://goo.gl/maps/x5WM2wVdXK8qcn8c6
4051 Basel, Switzerland
Web: www.intiquan.com
Tel: +41 76 603 28 06
*Confidentiality Note: *This message is intended solely for the designated
recipient(s). It may contain confidential or proprietary information and
may be subject to attorney-client privilege or other confidentiality
protections. If you are not a designated recipient you may not review, copy
or distribute this message. If you receive this in error, please notify the
sender by reply e-mail and delete this message. Thank you.
*Data Protection & Privacy:* The IntiQuan Data Protection statement applies
for all communication. You can view it here:
https://www.intiquan.com/data-protection.
IntiQuan GmbH | Managing Director: Dr. Henning Schmidt | Trade register:
Basel Stadt CH-270.4.004.907-8 | UID: CHE-181.306.905