<div dir="ltr"><div>Thanks Marc,</div><div><br></div><div>Your video is also a great general introduction for population modeling. Highly recommended as a learning tool. </div><div><br></div><div>Thanks for sending this link.</div><div><br></div><div>If more people have videos about their research, please do share them with the group - I hope to see more of these.</div><div><br></div><div> Jacob</div><div><br></div><div class="gmail_extra"><br><div class="gmail_quote">On Mon, Feb 16, 2015 at 5:39 AM, Marc Lavielle <span dir="ltr"><<a href="mailto:Marc.Lavielle@inria.fr" target="_blank">Marc.Lavielle@inria.fr</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;padding-left:1ex;border-left-color:rgb(204,204,204);border-left-width:1px;border-left-style:solid"><div dir="ltr"><div><br></div><div>Thank you for this invitation</div><div><br></div><div>I'm working for many years on the development of new methods and software tools for population modelling.</div><div><br></div><div>I've been leading the development of the Monlix software which is widely used for population pharmacometrics modelling. Monolix is free for teaching and academic research</div><div> <a href="http://lixoft.com/" target="_blank">http://lixoft.com/</a></div><div><br></div><div>I recently published the book "Mixed Effects Models for the Population Approach: Models, Tasks, Methods and Tools" (Chapman and Hall/CRC)</div><div><a href="http://www.math.u-psud.fr/~lavielle/book.html" target="_blank">http://www.math.u-psud.fr/~lavielle/book.html</a></div><div><br></div><div>Still on the same topic, I produced some time ago a web animation "Introduction to the population approach" that you can use freely for teaching</div><div><a href="http://webpopix.com/movies/PopulationApproach.swf" target="_blank">http://webpopix.com/movies/PopulationApproach.swf</a></div><div><br></div><div>I'm now working on mlxR, a R package for the simulation of (complex) models for longitudinal data, including several levels of variability/heterogeneity (residual errors, inter individual variability, inter occasion variability, ...)</div><div><a href="http://simulx.webpopix.org/" target="_blank">http://simulx.webpopix.org/</a></div><div><br></div><div>kind regards,</div><div>Marc</div><div> </div><div><br></div>-- <br><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div><img width="200" height="160" src="https://docs.google.com/uc?export=download&id=0BzKe1aNQPzM-MExBeERRUlRtOTQ&revid=0BzKe1aNQPzM-Q3gwY1Mvc29NSm12UVVYQVFMcllTaERnSUJJPQ"><br></div><div><a href="http://www.math.u-psud.fr/~lavielle/book.html" target="_blank">Mixed Effects Models for the Population Approach</a></div><br><i>Marc Lavielle</i><br><i>Inria Saclay</i><br><br>Tel: (33) 1 69 15 57 43</div><div dir="ltr"> (33) 6 37 31 93 05<br></div><div dir="ltr"><br><a href="mailto:Marc.Lavielle@inria.fr" target="_blank">Marc.Lavielle@inria.fr</a><br><a href="http://www.math.u-psud.fr/~lavielle" target="_blank">http://www.math.u-psud.fr/~lavielle</a><br><div style="font-size:12.72px"><br></div>"""""""""""""""""""""""""""""""""""""""""""""""""""""""""<br></div></div></div></div></div></div></div></div></div></div>
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