| Literature DB >> 31449742 |
Stefanie Hennig1, Jacqueline A Hannam2, Carl M J Kirkpatrick3, Christine E Staatz1, Sam Holford4, Stephen B Duffull5, Hesham S Al-Sallami5, Bruce G Charles1, Nick Holford2, David J R Foster6.
Abstract
Entities:
Year: 2019 PMID: 31449742 PMCID: PMC6813165 DOI: 10.1002/psp4.12460
Source DB: PubMed Journal: CPT Pharmacometrics Syst Pharmacol ISSN: 2163-8306
Intermediate PAWS workshop topics from 1999–2019
| Year | Workshop title | Workshop description |
|---|---|---|
| 2019 | PAWS at the joint ASCEPT‐PAGANZ 2019 meeting | Nlmixr workshop |
| TMDD | Target‐mediated drug disposition model, modeling, and applications in drug development | |
| CellML | Model definition using the mark‐up language CellML | |
| OpenCOR | Framework for simulation using CellML | |
| 2018 | STAN | Model estimation and Bayesian inference using Stan |
| DDMoRe | Overview of the Drug Disease Model Resources (DDMoRe) project | |
| 2017 | R and Shiny | Model building and evaluation using R and Shiny apps |
| Receptor theory | Introduction to multistate receptor theory and biased ligands | |
| 2016 | No PAGANZ meeting | PAGANZ Inc. hosted WCoP2016 ( |
| 2015 | PBPK | Physiologically‐based pharmacokinetic model definition, estimation, and evaluation using Berkeley Madonna |
| TTE | Time‐to‐event model development and evaluation | |
| 2014 | Phoenix | Model definition, estimation, and evaluation using Phoenix NLME |
| QT interval | Population PKPD modelling of the QT interval using Phoenix NLME and NM‐TRAN | |
| Lifespan models | An introduction to lifespan‐based indirect drug response models | |
| 2013 | Optimal design | Application of population optimal design in drug development, preclinical and clinical trials |
| Categorical data | Development and evaluation of population models of categorical data | |
| 2012 | Transformation | Transformation of parameter and residual error distributions |
| Trial Simulator | Clinical trial and adaptive simulation | |
| Anti‐infectives | Population PKPD modelling of antibiotics including bacterial growth, resistance, and killing | |
| 2011 | Missing data | Modeling of left‐censored PK data and missing covariates |
| Biological systems | Large‐system simulation using the CellML mark‐up language | |
| Optimal design | Model discrimination using optimal design and introduction to DT optimality | |
| 2010 | VPC | The use and interpretation of visual predictive check plots in model evaluation |
| Monolix | Population PKPD modelling using Monolix and NONMEM | |
| 2009 | WinBUGS | Introduction to Bayesian statistics and WinBUGS |
| TTE | Time‐to‐event model development and evaluation using NONMEM and WinBUGS | |
| 2008 | Model Diagnostics | Empirical Bayes estimates, shrinkage, and residual error using PsN and Xpose for model diagnosis |
| Nonparametric | Semiparametric and nonparametric estimation in NONMEM VI | |
| 2007 | Monolix | An introduction to population PKPD modelling using Monolix |
| TTE | Time‐to‐event model development and evaluation | |
| 2006 | Discrete Data | Modelling non‐continuous data in NONMEM |
| Pediatrics | PKPD model development in pediatrics | |
| Optimal Design | Optimal design in drug development and postmarketing clinical trials | |
| 2005 | PD | Introduction to immediate effect models, effect compartment, and turnover models |
| PKPD | Simultaneous vs. sequential PKPD modelling | |
| 2004 | NONMEM | The use of “advanced” features of NONMEM including OMEGA blocks and baseline effect parameter |
| 2003 | NONMEM | The use of “advanced” features of NONMEM including logistic regression, differential equations, and bootstrapping |
| 2002 | PAGANZA | Meeting in South Africa |
| 2002 | CTS | Introduction to clinical trial simulation including design and simulation plans |
| Pharmacoeconomic models | Introduction to pharmacoeconomic models | |
| 2001 | Bayesian statistics | Introduction to Bayesian statistics and PKBUGS. Also, FOCE, EBEs, and the PRIOR subroutine in NONMEM |
| 2000 | PK and PKPD | Introduction to population PK and PKPD model development |
| 1999 | No PAWS at the first meeting | – |
ASCEPT, Australasian Society of Clinical and Experimental Pharmacologists and Toxicologists; CTS, clinical trial design; DT, optimality criteria; EBEs, empirical Bayes estimates; FOCE, first order conditional estimation; NLME, nonlinear mixed effects; PAWS, Population Analysis Workshop; PBPK, physiologically‐based pharmacokinetic; PD, pharmacodynamic; PK, pharmacokinetic; TMDD, target‐mediated drug disposition; VPC, visual predictive checks; WCoP2016, World Conference of Pharmacometrics 2016.
Figure 1Population Approach Group of Australia and New Zealand (PAGANZ) over time. The (a) number of participants at PAGANZ meetings by country of origin during the last 10 years and (b) the PAGANZ logo.