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
