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DTEND:20250507T160000
SUMMARY:BEMC Talk | Berlin Epidemiological Methods Colloquium (BEMC)
DESCRIPTION:The Berlin Epidemiological Methods Colloquium (BEMC) invites all interested participants to its next session on Wednesday, May 7, 2025 at 4:00 PM CEST.\n📣 Guest Speaker:<br data-start="234" data-end="237" />Martin Lajous (National Institute of Public Health, Mexico &amp; Maria Sklodowska-Curie National Research Institute of Oncology, Poland)<br data-start="373" data-end="376" />🗣️ Talk Title: "Estimating effects on all-cause mortality in the presence of COVID-19 deaths"\nIn this presentation, Lajous will explore how the COVID-19 pandemic has introduced new challenges for epidemiologic cohorts evaluating the impact of risk factors on non-communicable disease mortality. Using data from the Mexican Teachers’ Cohort and the Polish-Norwegian Study, he will discuss patterns of mortality during and after the pandemic, and outline various causal inference methods for dealing with competing risks like COVID-19 deaths. The talk will also delve into advanced analytic strategies such as g-formula, IPTW, and separable treatment effects, including their application in real-world studies on colon and prostate cancer.\n📍 Location (in-person): Lecture Hall 21 (former Paul-Ehrlich-Hörsaal), Virchowweg 4, CCM<br data-start="1236" data-end="1239" />📝 Register for in-person attendance<br data-start="1314" data-end="1317" />💻 Register for remote attendance via Zoom<br data-start="1429" data-end="1432" />📺 Not in Berlin? Join via livestream!\nThis is a great opportunity to engage with advanced epidemiological methods and gain insights into current debates in population health research.

X-ALT-DESC;FMTTYPE=text/html:<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 3.2//EN">\n<HTML>\n<HEAD>\n<META NAME="Generator" CONTENT="MS Exchange Server version 08.00.0681.000">\n<TITLE></TITLE>\n</HEAD>\n<BODY>\n<!-- Converted from text/rtf format -->\n\n<p class="" data-start="56" data-end="211">The Berlin Epidemiological Methods Colloquium (BEMC) invites all interested participants to its next session on <strong data-start="168" data-end="210">Wednesday, May 7, 2025 at 4:00 PM CEST</strong>.</p><br /><p class="" data-start="213" data-end="476">📣 <strong data-start="216" data-end="234">Guest Speaker:</strong><br data-start="234" data-end="237" /><strong data-start="237" data-end="254">Martin Lajous</strong> (National Institute of Public Health, Mexico &amp; Maria Sklodowska-Curie National Research Institute of Oncology, Poland)<br data-start="373" data-end="376" />🗣️ <strong data-start="380" data-end="395">Talk Title:</strong> <em data-start="396" data-end="476">"Estimating effects on all-cause mortality in the presence of COVID-19 deaths"</em></p><br /><p class="" data-start="478" data-end="1141">In this presentation, Lajous will explore how the COVID-19 pandemic has introduced new challenges for epidemiologic cohorts evaluating the impact of risk factors on non-communicable disease mortality. Using data from the <strong data-start="699" data-end="727">Mexican Teachers’ Cohort</strong> and the <strong data-start="736" data-end="762">Polish-Norwegian Study</strong>, he will discuss patterns of mortality during and after the pandemic, and outline various causal inference methods for dealing with competing risks like COVID-19 deaths. The talk will also delve into advanced analytic strategies such as <strong data-start="1000" data-end="1013">g-formula</strong>, <strong data-start="1015" data-end="1023">IPTW</strong>, and <strong data-start="1029" data-end="1060">separable treatment effects</strong>, including their application in real-world studies on colon and prostate cancer.</p><br /><p class="" data-start="1143" data-end="1474">📍 <strong data-start="1146" data-end="1171">Location (in-person):</strong> Lecture Hall 21 (former Paul-Ehrlich-Hörsaal), Virchowweg 4, CCM<br data-start="1236" data-end="1239" />📝 <a class="" href="https://forms.gle/VFBssdqFWTkoHUCb6" data-start="1242" data-end="1314">Register for in-person attendance</a><br data-start="1314" data-end="1317" />💻 <a class="" href="https://eu01web.zoom.us/webinar/register/WN_pCWQCnOsTM6AhGXt2QLezg" data-start="1320" data-end="1429" data-is-only-node="">Register for remote attendance via Zoom</a><br data-start="1429" data-end="1432" />📺 Not in Berlin? <strong data-start="1450" data-end="1473">Join via livestream</strong>!</p><br /><p class="" data-start="1476" data-end="1621">This is a great opportunity to engage with advanced epidemiological methods and gain insights into current debates in population health research.</p>\n\n</BODY>\n</HTML>

LOCATION:4, Virchowweg, Mitte, Berlin, 10117, Deutschland
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