Description
Pre-Conference Workshop at PAGE 2024
Price: $550 (Academic $275)
Contact info@certarauniversity.com for access to the special pricing. Be prepared to offer some evidence (such as an academic email address or a student ID) that you are eligible for the discount.
Course Description
This is a full day workshop that will introduce the student to PMX analyses in R using Certara’s R speaks NLME, Pirana, and Pirana Darwin. By the end of the course, students will be able to create a pk model in R using the PML language, fit the model, perform diagnostics including VPC, and perform simulations. In addition, students will be given an introduction to executing a machine learning model selection analysis using Pirana Darwin.
The workshop will include lectures and hands-on exercises. Participants will be given access to a cloud environment to perform the hands-on exercises.
Location:
Meeting room at Ergife Hotel, Rome, Italy
Date and Time:
Tuesday, 25 June 2024 from 09:00 to 17:00
Requirements:
Each participant must bring their own laptop and be familiar with the fundamental use of R software.
Instructors
Keith Nieforth, PharmD.: Dr. Nieforth is the product owner for Certara’s NLME, Pirana, and Trial Simulator software solutions. Prior to joining Certara, Keith spent over 20 years at Roche in the department of Clinical Pharmacology where he contributed to numerous projects involving PK, PK/PD, and population pharmacokinetic analyses. While at Roche, Keith also served as the global business lead for the implementation of a clinical pharmacology data working environment, which harmonized workflow and toolsets for the organization, analysis, and reporting of clinical pharmacokinetic and pharmacodynamics data across Roche sites in Switzerland, UK and USA. Keith holds a B.S. in Pharmacy from the University of Connecticut, and a Pharm.D. from The Massachusetts College of Pharmacy and Health Sciences.
Mark Sale, MD: Dr. Sale has extensive experience conducting advanced pharmacometrics analyses across diverse therapeutic areas and developing novel machine learning methods to accelerate drug development. He received his M.D. from The Ohio State University and an M.A. in Biostatistics from Georgetown University. Dr. Sale completed a fellowship in clinical pharmacology at Stanford University and was an assistant professor of medicine and pharmacology at Georgetown University. Dr. Sale is currently the Vice President of Product Management at Certara as well as a scientific advisor at RxStudio.
Objectives
- Introduction
- Overview of RsNLME, Pirana, Pirana Darwin
- Overview of Pirana User Interface
- Pharmacometric Modeling Language (PML)
- Model Creation
- Model Builder
- Mapping model variables
- Model Copy/Editing
- Model Fitting
- Engine Settings
- Review of outputs
- Model Fit Diagnostics
- modelResultsUI
- VPC
- VPCResultsUI
- Simulation
- RsNLME
- Review R script that does all of above
- Machine learning model selection with Pirana Darwin
- Demonstrate how to execute a Darwin run in Pirana
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Course Materials
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Cancellation Policy
Classroom Courses
Certara retains the right to cancel sessions, if 30 calendar days before the first day of class, there are fewer than five students enrolled. Participants should wait to book nonrefundable travel until they receive confirmation from Certara that a class has sufficient registrations to proceed.
If a scheduled class is cancelled, Certara will notify enrolled students at least thirty calendar days before the first day of the scheduled class and the full cost of the course would be refunded. Certara will not be responsible for any airfare, accommodation or other costs incurred by registrants in the event a course is cancelled for any reason. If Certara cancels a course within 30 days for any unforeseen reason a full refund will be issued and airfare exchange fees may be refunded.
If you cannot attend the session for which you have enrolled, you can (1) choose a different session of the same course, (2) have another person attend in your place, or (3) you may be able to get a full or partial refund, based on the number of days prior to the session, as shown in the table.
| 1-30 Calendar Days | 0% Refund |
| 31-59 Calendar Days | 50% Refund |
| 60 Calendar Days or More | 100% Refund |
Live Online Courses
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Details
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