Dear all,
The Uppsala Pharmacometrics Group have over the years given a number of intermediate and advanced courses on various topics related to population PKPD modeling using NONMEM. Now we offer a new course: covariate model building. The course will provide participants with knowledge to efficiently tailor methods to build and evaluate covariate models to different situations. The participants will learn about pros and cons about commonly used methods, but also learn about new methods* that can substantially improve the efficiency of covariate modeling and increase the ability to diagnose the quality of the resulting model. The course will be taught using NONMEM and our freeware PsN (psn.sf.net) and Xpose (xpose.sf.net) that allow the use of many different automated model building and evaluation methods. For more information please visit <http://www.med.upenn.edu/kmas/Mats/Matsindex.htm> http://www.med.upenn.edu/kmas/Mats/Matsindex.htm. *Some recent advances in covariate modeling methodology by the Uppsala Pharmacometric Research Group Authors Title Reference Åsa Johansson and Mats O Karlsson Multiple imputation of missing covariates in NONMEM and evaluation of its sensitivity to η-shrinkage WCoP 2012 Vijay Ivaturi, Ron Keizer and Mats O. Karlsson A full random effects model for characterising covariate relations WCoP 2012 Andrew C. Hooker and Mats O. Karlsson The Kaplan-Meier Mean Covariate plot (KMMC): a new diagnostic for covariates in time-to-event models. PAGE 2012 Takayuki Katsube, Akash Khandelwal, Andrew C Hooker, E. Niclas Jonsson, Mats O Karlsson Characterization of Stepwise Covariate Model Building Combined with Cross-Validation PAGE 2012 Mats O Karlsson A full model approach based on the covariance matrix of parameters and covariates PAGE 2012 Khandelwal A, Harling K, Jonsson EN, Hooker AC, Karlsson MO. A fast method for testing covariates in population PK/PD Models. AAPS J. 2011 ;13:464-72. Bergstrand M, Hooker AC, Wallin JE, Karlsson MO. Prediction-corrected visual predictive checks for diagnosing nonlinear mixed-effects models. AAPS J. 2011 ;13:143-51. Paul G. Baverel, Radojka M. Savic, Scott F. Marshall, Mats O. Karlsson A novel covariate search method intended for PKPD models with nonparametric parameter distributions PAGE 2011 Takayuki Katsube, Akash Khandelwal, Kajsa Harling, Andrew C Hooker, Mats O Karlsson Evaluation of Stepwise Covariate Model Building Combined with Cross-Validation PAGE 2011 Ron J Keizer, Akash Khandelwal, Andrew C Hooker, Mats O Karlsson The bootstrap of Stepwise Covariate Modeling using linear approximations PAGE 2011 Akash Khandelwal, Andrew C Hooker, and Mats O Karlsson Influence of Correlated Covariates on Predictive Performance for Different Models PAGE 2011 Vijay D Ivaturi, Andrew C Hooker, Mats O Karlsson Selection Bias in Pre-Specified Covariate Models PAGE 2011 Åsa M. Johansson, Mats O. Karlsson Comparison of methods for handling missing covariate data PAGE 2011 Akash Khandelwal, Kajsa Harling, E Niclas Jonsson, Andrew C Hooker, Mats O Karlsson Covariate Model Building Using Linear Approximations PAGE 2010 Savic RM, Karlsson MO. Importance of shrinkage in empirical bayes estimates for diagnostics: problems and solutions. AAPS J. 2009 ;11:558-69. Best regards, Mats Mats Karlsson, PhD Professor of Pharmacometrics Dept of Pharmaceutical Biosciences Faculty of Pharmacy Uppsala University Box 591 75124 Uppsala http://www.farmbio.uu.se/research/researchgroups/pharmacometrics/ Phone: +46 18 4714105 Fax + 46 18 4714003
