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Population Pharmacometrics Modeling with Monolix- reduced fee for trainees

From: ASoP Mail <mail>
Date: Tue, 17 Apr 2012 19:58:50 -0500

All, registration is now open for the ASoP workshop: *Population
Pharmacometrics Modeling with Monolix*

Please note that we now have a reduced workshop fee for trainees (students
and post-doctoral fellows):

   - $675.00 for ASoP members
   - $975.00 for non-ASoP members

To learn more about the American Society of Pharmacometrics, visit our
To register for the workshop, visit

On Thu, Apr 12, 2012 at 9:11 AM, ASoP Mail <mail

> The American Society of Pharmacometrics (ASoP) is sponsoring a 2 day
> workshop: *Population Pharmacometrics Modeling with Monolix*. The
> instructor for this workshop is *Marc Lavielle*.
> *Date:* May 17-18, 2012
> *Workshop fee* (includes coffee and lunch on both days):
> $975.00 for ASoP members
> $1275.00 for non-ASoP members – to join ASoP, visit our website:
> *Location*: Fairfield Inn and Suites
> 315 Davidson Ave., Somerset NJ 08873
> Phone #732-627-8483
> You must inform the hotel you are attending the ASoP workshop to get the
> reduced room rate of $119 (includes breakfast).
> *Software*: We will use Monolix for illustrating the concepts and
> methods presented during the workshop. The course will include several
> hands-on sessions, with attendees working on their own laptop. Monolix 4.=
> can be downloaded from the Lixoft website:
> Once there, fill in the fields
> selecting “MonolixCourse” for the question “ How will you use the
> software?” In the message frame put in the name of this workshop. Indus=
> participants will then receive a free 3 month license. (Monolix remains
> free of charge for academic participants).
> *Workshop Summary*: This workshop aims to present a rigorous approach of
> pharmacometrics model building. It focuses on the truly essential
> activities of the modeler: easily and rapidly fitting complex models on
> data, and using reliable tools to select and validate the best models.
> The agenda will cover the implementation of basic and complex
> pharmacometrics models, including models for continuous, categorical, cou=
> and time to event data. If the Pharmacometrics model is a fundamental
> component of the model, the statistical component is also essential to
> describe both the inter-subject and intra-subject variability. A strong
> emphasis will be put in this workshop on presenting statistical models in=
> simple but very rigorous manner.
> The modeler’s role is not to know and master all the technical details =
> the algorithms implemented in the software tools. It is nevertheless
> important to understand what the algorithms are doing and to verify the
> validity of their results. We will explain in this course the principles =
> the SAEM algorithm and other algorithms developed for a practical use of
> non linear mixed effects models. We will show how to validate their
> convergence.
> *Marc Lavielle* has been leading the Monolix project since 2004. He is a
> Research Director at Inria Saclay, France. He created and led the CNRS
> Research Group “Statistics and Health”. He is a member of the French
> National Council for Biotechnologies. He has worked on the development of
> maximum-likelihood estimation methods, applied to a broad area of
> applications. He has co-authored several papers on various aspects of
> statistical estimation and on SAEM algorithm. Several of the methods that
> he developed are implemented in the Monolix software.
> Registration is limited to 40 participants so early registration is
> suggested. To register, visit
> We look forward to your attendance and participation!
> Questions? Please contact us at mail

Received on Tue Apr 17 2012 - 20:58:50 EDT

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