<html><head><meta http-equiv="Content-Type" content="text/html charset=utf-8"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;" class="">Thanks Jacob. Let me tag onto this message to say that there will be a Breakout Session for the Population Group on Day 1, which I believe Madhav and I will be leading. <div class="">We’d like to solicit opinions regarding what the agenda of that meeting should be. One thought is to focus the discussion around a number of topics related to population modeling. Here (below) are a collection of topics that we might feature in such a discussion. Please do chime in if you would like to add or subtract from that least, or if you have other ideas that you would like to propose for that Breakout meeting.</div><div class=""><br class=""></div><div class=""><div class=""><div class="" style="margin: 0in 0in 0.0001pt; font-size: 12pt; font-family: 'Times New Roman', serif;"><b class="">Suggested Discussion Themes For Breakout Session for Population Working Group:</b><o:p class=""></o:p></div></div><div class=""><div class="" style="margin: 0in 0in 0.0001pt; font-size: 12pt; font-family: 'Times New Roman', serif;"> <o:p class=""></o:p></div></div><div class=""><div class="" style="margin: 0in 0in 0.0001pt; font-size: 12pt; font-family: 'Times New Roman', serif;">1. Is heterogeneity modeled? If so, how is it represented? Are the individuals heterogeneous or does the heterogeneity appear through their exposures/environment? Is there a fundamental difference between heterogeneity in the individuals or their environment? When is it important to reflect the heterogeneity that is present in virtually any population, and when can that heterogeneity be safely ignored? <o:p class=""></o:p></div></div><div class=""><div class="" style="margin: 0in 0in 0.0001pt; font-size: 12pt; font-family: 'Times New Roman', serif;"> <o:p class=""></o:p></div></div><div class=""><div class="" style="margin: 0in 0in 0.0001pt; font-size: 12pt; font-family: 'Times New Roman', serif;">2. Is the model at the individual (agent) or population level? How do we choose which level is the most appropriate at which to build the model. How (or are) these two levels tied together? Models at individual level seem to naturally imply population level behavior, but not vice-versa.<o:p class=""></o:p></div></div><div class=""><div class="" style="margin: 0in 0in 0.0001pt; font-size: 12pt; font-family: 'Times New Roman', serif;"> <o:p class=""></o:p></div></div><div class=""><div class="" style="margin: 0in 0in 0.0001pt; font-size: 12pt; font-family: 'Times New Roman', serif;">3. How is the model performance assessed? Is model fit addressed formally? I.e. how do we decide whether a model is actually useful? What principles are used and how are they chosen? Is this addressed in an ad-hoc fashion or are formal statistical methods used? How is the simulation data fit to the observed data? <o:p class=""></o:p></div></div><div class=""><div class="" style="margin: 0in 0in 0.0001pt; font-size: 12pt; font-family: 'Times New Roman', serif;"> <o:p class=""></o:p></div></div><div class=""><div class="" style="margin: 0in 0in 0.0001pt; font-size: 12pt; font-family: 'Times New Roman', serif;">4. This one is an actual theme. By far the most common application theme is human health, and typically epidemiology. This makes sense, since humans are the population about which we care most. We might then ask when lessons learned from human populations can be usefully applied to other populations? Also, what features makes humans a particularly challenging population to model?</div></div><div class=""><div class=""><br class=""></div></div></div><div class=""><br class=""></div><div class="">Thanks, Paul</div><div class=""><br class=""></div><div class=""><br class=""></div><div class=""><div><blockquote type="cite" class=""><div class="">On Aug 24, 2015, at 3:21 PM, Jacob Barhak <<a href="mailto:jacob.barhak@gmail.com" class="">jacob.barhak@gmail.com</a>> wrote:</div><br class="Apple-interchange-newline"><div class=""><meta http-equiv="Content-Type" content="text/html; charset=utf-8" class=""><div dir="ltr" class=""><div class="">Hello All,</div><div class=""><br class=""></div><div class="">This is a reminder that the MSM/IMAG meeting will take place at the NIH on Sep 8-10. This is the meeting where the population working group met which led to the start of this mailing list. And there will be another meeting this year.</div><div class=""><br class=""></div><div class="">An agenda was drafted on the wiki and can be found at:</div><div class=""><a href="http://www.imagwiki.nibib.nih.gov/imag-events/2015-msm-consortium-meeting" class="">http://www.imagwiki.nibib.nih.gov/imag-events/2015-msm-consortium-meeting</a></div><div class=""><br class=""></div><div class="">Last time I checked, there were still tickets and you can still register though this link:</div><div class=""><a href="https://www.eventbrite.com/e/2015-imag-multiscale-modeling-consortium-tickets-17544718726" class="">https://www.eventbrite.com/e/2015-imag-multiscale-modeling-consortium-tickets-17544718726</a></div><div class=""><br class=""></div><div class="">If you are interested, you may wish to act fast while tickets remain.</div><div class=""><br class=""></div><div class="">If you know you are going, please let us know so members of this group can find each other easily - I know Madhav, Paul Marjoram, And Tony Hunt will be there. Hopefully more of you that can travel easily will appear. </div><div class=""><br class=""></div><div class="">This event is highly recommended for medical computational modelers especially due to its collaborative nature.</div><div class=""><br class=""></div><div class=""> Jacob</div><div class=""><br class=""></div></div>
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<br class=""><br class="">=====================<br class="">=====================<br class="">Paul Marjoram<br class="">Research Assoc. Prof.<br class="">Division of Biostatistics<br class="">U.S.C., Dept. of Prev. Med.<br class="">2001 N. Soto St., <br class="">SSB 202V, MC-9234<br class="">Los Angeles<br class="">CA 90089-9234<br class=""><a href="mailto:pmarjora@usc.edu" class="">pmarjora@usc.edu</a><br class="">323-442-0111<br class=""><br class=""><br class=""><br class="">
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