<div dir="ltr">Caros colegas,<div><br></div><div>Segue divulgação de Webinar no dia 26 de julho a pedido da professora Alexandra Schmidt da McGill University.</div><div><br></div><div>Obrigada.</div><div><br></div><div>--------------------</div><div><br></div><div><div class="gmail_quote"><div dir="ltr" class="gmail_attr">Dear Colleagues,<br></div><div><div dir="ltr"><div dir="ltr"><div dir="ltr">
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<span style="font-family:Arial,Helvetica,sans-serif">I apologize in advance for potential cross-posting.<br>
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<span style="font-size:11pt;font-family:Arial,Helvetica,sans-serif">The seventh edition of the
<span>
</span><a href="https://community.amstat.org/committeeoninternationalrelationsinstatistics/events2/webinars" title="Original URL: https://community.amstat.org/committeeoninternationalrelationsinstatistics/events2/webinars. Click or tap if you trust this link." target="_blank"><span><span><span><span>Webinar</span></span></span></span><span>
Series</span></a><span> of the</span> </span><span style="font-size:11pt;font-family:Arial,Helvetica,sans-serif"><i>Committee
on International Relations in Statistics (CIRS) from the American Statistical Association (ASA)</i></span><span style="font-size:11pt;font-family:Arial,Helvetica,sans-serif">
and </span><span style="font-size:11pt;font-family:Arial,Helvetica,sans-serif"><i>Statistics
Without Borders,</i></span> will be held on July 26<span><sup>th</sup> at 12pm EDT</span>,<span style="font-size:11pt;font-family:Arial,Helvetica,sans-serif"> please,
help us advertise it.</span></p>
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<b><i><span style="font-size:11pt;font-family:Arial,Helvetica,sans-serif"> </span></i></b><span style="font-size:11pt;font-family:Arial,Helvetica,sans-serif"> </span><span style="font-size:11pt;font-family:"Calibri",sans-serif"><span></span></span></p>
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<font size="4"><b><span style="font-family:"Calibri",sans-serif;color:rgb(0,32,96)">July 26, 2023, 12 PM EDT</span></b></font><span style="font-size:11pt;font-family:"Calibri",sans-serif"><font size="4"> </font><span></span></span></p>
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<span style="font-size:14pt"><strong>"</strong></span><strong><span style="font-size:14pt"></span><span style="font-size:14pt"><strong></strong></span></strong><span style="font-size:14pt"><strong><span style="font-size:14pt"><strong><span>Introduction
to Bayesian Modelling of Epidemics: From Population to Individual-level Models</span></strong></span>"<br>
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<span style="font-size:14pt"><strong>Presenter: Professor Rob Deardon, University of Calgary<br>
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<span style="font-size:14pt"><strong>Register<a href="https://amstat.zoom.us/webinar/register/WN_bTWlPpxcTtWJ_yV4E3QdkQ" title="https://amstat.zoom.us/webinar/register/WN_bTWlPpxcTtWJ_yV4E3QdkQ" id="m_-3275440688254168840m_-2647083444077645045LPNoLPOWALinkPreview" target="_blank">
here</a></strong></span></p>
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<span><b>Abstract:
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<span style="font-size:14pt"></span><span style="font-size:12pt">With the onset of the COVID-19 pandemic, there has been an understandable increase in the interest in the mathematical and statistical modelling of infectious disease epidemics. The modelling
of infectious disease spread through a population generally requires the use of non-standard statistical models. This is primarily because infection events depend upon the infection status of other members of the population (i.e. we cannot assume independence
of infection events). Typically, statistical inference for these models (e.g., parameter estimation) is done in a Bayesian context using computational techniques such as Markov chain Monte Carlo (MCMC). This is in part due to the non-standard form of the
models, but also in part due to the fact that we often have missing or uncertain data; for example, infection times are rarely observed. Bayesian data augmentation provides a natural framework for allowing for such uncertainty. Further complication is added
by the fact that there are often complex heterogeneities in the population which we wish to account for, since, for example, populations do not tend to mix homogeneously. Sometimes, we may wish to account for such heterogeneities using spatial mechanisms that
assume that transmission events are more likely to occur between individuals close together in space than individuals further apart. Sometimes, it is more natural to model such heterogeneities using contact networks that represent, for example, the sharing
of supplier companies between farms. </span></p>
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<span style="font-size:12pt">Here, we will examine the main characteristics of both population-level and individual-level infectious disease models, and how they can be fitted to data in a Bayesian MCMC framework.<br>
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<span style="font-size:12pt"><strong><span style="font-size:14pt">Bio</span></strong>:
<span>Rob Deardon is a Professor of Biostatistics with a joint position in the Faculty of Veterinary Medicine and Department of Mathematics & Statistics at the University of Calgary. Much of his recent work has been in the area of infectious disease modelling,
but he is also interested in Bayesian & computational statistics, experimental design, disease surveillance methods, spatio-temporal modelling and statistical learning. He currently has a research group consisting of 15 trainees, and has published 75+ papers
in peer-reviewed journals. He has served as associate editor of a number of journals including the Journal of the Royal Statistical Society (Series C) and the Canadian Journal of Statistics. He is currently the Graduate Coordinator of the Interdisciplinary
Biostatistics Graduate Program at Calgary, and has recently served a 2-year term as the Chair of the Statistics Section of the NSERC Discovery Grant Mathematics & Statistics Evaluation Group. </span></span></p>
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<b><i><span style="font-size:11pt;font-family:"Calibri",sans-serif">For questions, or to suggest topics for future
<span><span>webinar</span></span>s contact Carolina Franco at
</span></i></b><b><i><span style="font-size:11pt;font-family:"Calibri",sans-serif"><a href="mailto:franco-carolina@norc.org" target="_blank">franco-carolina@norc.org</a></span></i></b><b><i><span style="font-size:11pt;font-family:"Calibri",sans-serif">
or Alexandra Schmidt </span></i></b><b><i><span style="font-size:11pt;font-family:"Calibri",sans-serif"><a href="mailto:alexandra.schmidt@mcgill.ca" target="_blank">alexandra.schmidt@mcgill.ca</a></span></i></b><span style="font-size:11pt;font-family:"Calibri",sans-serif"> <b><i>or
Sloka Iyengar <u><span style="color:blue"><a href="mailto:slokaiyengar1@gmail.com" target="_blank">slokaiyengar1@gmail.com</a><span></span></span></u></i></b></span></p>
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<span style="font-size:11pt;font-family:"Calibri",sans-serif">We hope to see you there.</span></p>
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Best wishes,</div>
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<span style="font-family:Calibri,Arial,Helvetica,sans-serif;font-size:12pt;color:rgb(0,0,0);background-color:rgb(255,255,255)">Alexandra, Carolina and Sloka</span><br>
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<div><span style="font-size:10pt;color:rgb(102,102,102)"><br>
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<div><span style="font-size:10pt;color:rgb(102,102,102)">Alexandra M. Schmidt</span></div>
<div><span style="font-size:10pt"></span><span style="color:rgb(102,102,102)"></span></div>
<div><span style="font-size:10pt;color:rgb(102,102,102)">Professor - The University Chair<br>
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<div><span style="font-size:10pt;color:rgb(102,102,102)">Program Director of Biostatistics</span></div>
<div><span style="font-size:10pt;color:rgb(102,102,102)">McGill University</span><br>
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<div><span style="font-size:10pt;color:rgb(102,102,102)"></span><b><a href="http://alex-schmidt.research.mcgill.ca/" target="_blank"><span style="font-size:10pt">http://alex-schmidt.research.mcgill.ca/</span></a><br>
</b></div><div><br></div><div>--------------------------------</div>
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</div></div><br clear="all"><div>Atenciosamente,</div><span class="gmail_signature_prefix">-- </span><br><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div><i><span style="font-family:arial,sans-serif">Kelly C. M. Gonçalves</span></i></div><div><i><span style="font-family:arial,sans-serif">Professora Associada I</span></i></div><div><i><span style="font-family:arial,sans-serif">Departamento de Métodos Estatísticos</span></i></div><div><i><span style="font-family:arial,sans-serif">Universidade Federal do Rio de Janeiro</span></i><br></div><div><i><font face="arial, sans-serif"><a href="https://sites.google.com/dme.ufrj.br/kelly/" target="_blank">https://sites.google.com/dme.ufrj.br/kelly/</a></font><br></i></div></div></div></div></div>