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
Covariate modeling course in Philadelphia Oct 22-23, 2012
Hi Mats,
To which days do we need to change PAGANZ to have this course here in
Brisbane?? :-)
/Stefanie
Quoted reply history
On Mon, Aug 13, 2012 at 10:04 PM, Mats Karlsson <[email protected]
> wrote:
> 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. ****
>
> ** **
>
> ** **
>
> *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****
>
> ** **
>
--
Stefanie Hennig
Division of Pharmacokinetics and Drug Therapy
Department of Pharmaceutical Biosciences
Uppsala University
Biomedicum, Box 591
Uppsala, 75124
Sweden
41 Norman St
Coorparoo, QLD 4151
Tel (home): +61-7-3397 7895
email: [email protected]
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
Hennig S, Karlsson MO
Which matrix is the most reliable to judge the inclusion of covariates:
reduction of unexplained parameter variability, increase in explained parameter
variability or change in OFV?
PAGANZ 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